Dissertations / Theses on the topic 'Analysis correlation-regression'

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1

Twagirumukiza, Etienne. "Analysis of Faculty Evaluation by Students as a Reliable Measure of Faculty Teaching Performance." Digital Archive @ GSU, 2011. http://digitalarchive.gsu.edu/math_theses/105.

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Most American universities and colleges require students to provide faculty evaluation at end of each academic term, as a way of measuring faculty teaching performance. Although some analysts think that this kind of evaluation does not necessarily provide a good measurement of teaching effectiveness, there is a growing agreement in the academic world about its reliability. This study attempts to find any strong statistical evidence supporting faculty evaluation by students as a measure of faculty teaching effectiveness. Emphasis will be on analyzing relationships between instructor ratings by students and corresponding students’ grades. Various statistical methods are applied to analyze a sample of real data and derive conclusions. Methods considered include multivariate statistical analysis, principal component analysis, Pearson's correlation coefficient, Spearman's and Kendall’s rank correlation coefficients, linear and logistic regression analysis.
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2

Narteh, Alexander Tetteh. "Correlation of Fluorescence Spectroscopy and Biochemical Oxygen Demand (BOD5) Using Regression Analysis." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/5567.

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This research uses Regression analysis of fluorescence spectroscopy results to correlate with Biochemical Oxygen Demand (BOD5). Fluorescence spectroscopy was applied to samples taken from seven sample sites in the Provo and Orem waste water treatment plants found in Utah County. A total of 161 samples were collected for this research. 23 samples each were taken from four sites in the Provo waste water treatment plant namely Provo head works, aeration basin, primary filter settlement basin and the Provo effluent basin. The Orem head works, the clarifier and the Orem effluent basin were the three sample sites in the Orem waste water treatment plant where 23 samples each were collected to carry out the analysis. The fluorescent characteristics of the samples were determined using fluorescence spectrometry. These intensities were correlated with standard five day Biochemical Oxygen Demand (BOD5) values which were used as a measure of the amount of biodegradable organic material present. Chemical oxygen demand (COD) data were also taken from these treatment plants for correlation purposes. Three different correlation analyses were made which were the correlation of fluorescence spectroscopy excitation-emission matrix (EEM) against (1) individual sites BOD and COD values (2) Provo only and Orem only BOD and COD values (3) combined Provo and Orem BOD and COD values. The correlation of Individual site EEMs against BOD and COD values produced the best results. There was a higher correlation of EEM with BOD data than COD data. The R-squared for the combined Provo and Orem BOD data was 0.756 and that for COD was 0.729. Very high R-squared was obtained for Provo Influent data and Orem Influent data which were 0.955 and 0.946 respectively. This method can be used by wastewater stakeholders in deriving quick results in determining potential pollution events within a shorter time frame. This research demonstrates that there is a correlation between EEM and BOD/COD.
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3

Lei, Song. "Informative correlation extraction from and for Forex market analysis." AUT University, 2010. http://hdl.handle.net/10292/899.

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The forex market is a complex, evolving, and a non-linear dynamical system, and its forecast is difficult due to high data intensity, noise/outliers, unstructured data and high degree of uncertainty. However, the exchange rate of a currency is often found surprisingly similar to the history or the variation of an alternative currency, which implies that correlation knowledge is valuable for forex market trend analysis. In this research, we propose a computational correlation analysis for the intelligent correlation extraction from all available economic data. The proposed correlation is a synthesis of channel and weighted Pearson's correlation, where the channel correlation traces the trend similarity of time series, and the weighted Pearson's correlation filters noise in correlation extraction. In the forex market analysis, we consider 3 particular aspects of correlation knowledge: (1) historical correlation, correlation to previous market data; (2) cross-currency correlation, correlation to relevant currencies, and (3) macro correlation, correlation to macroeconomic variables. While evaluating the validity of extracted correlation knowledge, we conduct a comparison of Support Vector Regression (SVR) against the correlation aided SVR (cSVR) for forex time series prediction, where correlation in addition to the observed forex time series data is used for the training of SVR. The experiments are carried out on 5 futures contracts (NZD/AUD, NZD/EUD, NZD/GBP, NZD/JPY and NZD/USD) within the period from January 2007 to December 2008. The comparison results show that the proposed correlation is computationally significant for forex market analysis in that the cSVR is performing consistently better than purely SVR on all 5 contracts exchange rate prediction, in terms of error functions MSE, RMSE, NMSE, MAE and MAPE. However, the cSVR prediction is found occasionally differing significantly from the actual price, which suggests that despite the significance of the proposed correlation, how to use correlation knowledge for market trend analysis remains a very challenging difficulty that prevents in practice further understanding of the forex market. In addition, the selection of macroeconomic factors and the determination of time period for analysis are two computationally essential points worth addressing further for future forex market correlation analysis.
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4

Wang, Guoshen. "Analysis of Additive Risk Model with High Dimensional Covariates Using Correlation Principal Component Regression." Digital Archive @ GSU, 2008. http://digitalarchive.gsu.edu/math_theses/51.

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One problem of interest is to relate genes to survival outcomes of patients for the purpose of building regression models to predict future patients¡¯ survival based on their gene expression data. Applying semeparametric additive risk model of survival analysis, this thesis proposes a new approach to conduct the analysis of gene expression data with the focus on model¡¯s predictive ability. The method modifies the correlation principal component regression to handle the censoring problem of survival data. Also, we employ the time dependent AUC and RMSEP to assess how well the model predicts the survival time. Furthermore, the proposed method is able to identify significant genes which are related to the disease. Finally, this proposed approach is illustrated by simulation data set, the diffuse large B-cell lymphoma (DLBCL) data set, and breast cancer data set. The results show that the model fits both of the data sets very well.
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5

Sakwe, Chantal Wase. "Analysis of Suspended Sediment Loads in Streams and Rivers using Linear Regression and Pearson Correlation." Youngstown State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1452867844.

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6

Dastmard, Benjamin. "A statistical analysis of the connection between test results and field claims for ECUs in vehicles." Thesis, KTH, Matematisk statistik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-118428.

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The objective of this thesis is to analyse theconnection between test results and field claims of ECUs (electronic controlunits) at Scania in order to improve the acceptance criteria and evaluatesoftware testing strategies. The connection is examined through computation ofdifferent measures of dependencies such as the Pearson’s correlation, Spearman’srank correlation and Kendall’s tau. The correlations are computed from testresults in different ECU projects and considered in a predictive model based onlogistic regression. Numerical results indicate a weak connection between testresults and field claims. This is partly due to insufficient number of ECUprojects and the lack of traceability of field claims and test results. Themain conclusion confirms the present software testing strategy. Continuoussoftware release and testing results in a lower field claim and thus a betterproduct.
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7

Vrugtman, Rosanne. "Dimensions of Intuition first-round validation studies /." Diss., St. Louis, Mo. : University of Missouri--St. Louis, 2009. http://etd.umsl.edu/r3801.

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8

Lacko, Matej. "Analýza ekonomických ukazatelů vybrané firmy pomocí statistických metod." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2018. http://www.nusl.cz/ntk/nusl-378337.

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The diploma thesis deals with the analysis of economic indicators of Technos a.s., using statistical methods and the evaluation of the current financial situation. The work contains a theoretical and practical part. The theoretical part describes selected economic indicators, regression analysis, time series and correlation analysis. In the practical part, the analysis of selected economic indicators will be carried out and then statistical methods will be used to determine the prediction for the next year and to reveal the dependence between the individual indicators. The last part of the thesis deals with proposals that will improve the financial situation of the company.
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Funa, Laura. "Customer Satisfaction Analysis." Thesis, Linköpings universitet, Statistik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-71707.

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The objective of this master thesis is to identify “key-drivers” embedded in customer satisfaction data. The data was collected by a large transportation sector corporation during five years and in four different countries. The questionnaire involved several different sections of questions and ranged from demographical information to satisfaction attributes with the vehicle, dealer and several problem areas. Various regression, correlation and cooperative game theory approaches were used to identify the key satisfiers and dissatisfiers. The theoretical and practical advantages of using the Shapley value, Canonical Correlation Analysis and Hierarchical Logistic Regression has been demonstrated and applied to market research.
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Roy, Subroto, University of Western Sydney, College of Law and Business, and School of Marketing. "Innovation generation in buyer-seller relationships." THESIS_CLAB_MAR_Roy_S.xml, 2001. http://handle.uws.edu.au:8081/1959.7/235.

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In recent years, a number of researchers have questioned the traditional notion of the producer as the sole generator of innovation in buyer seller relationships. Increasingly, innovation generation has been recognized as an outcome of interaction between a firm and various outside entities. According to this view, supplier involvement and alliances are a route to innovation generation. Clearly, business market relationships provide an important opportunity for interaction between buyer and seller. Despite this realization, only very limited research has focused on innovation generation in business-to-business relationships. To alleviate this important gap in literature, this thesis develops a conceptual model and hypotheses of innovation generation in business-to-buyer seller relationships. The research uses a combination of qualitative and quantitative techniques to examine the proposed theoretical model of innovation generation. A pilot case study is followed by development of and purification of measures using the IMP database on supplier customer interfirm relations in Europe and China. The hypotheses and model are tested using correlation and regression analysis. Results suggest that innovation generation is indeed facilitated by buyer seller interactions. Interaction also moderates the effect of other relationship and technology factors and type of innovation generated
Doctor of Philosophy (PhD) (Marketing)
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11

Andersson, Gustaf. "Generalised linear factor score regression : a comparison of four methods." Thesis, Uppsala universitet, Statistiska institutionen, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-412851.

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Factor score regression has recently received growing interest as an alternative for structural equation modelling. Two issues causing uncertainty for researchers are addressed in this thesis. Firstly, more knowledge is needed on how different approaches to calculating factor score estimates compare when estimating factor score regression models. Secondly, many applications are left without guidance because of the focus on normally distributed outcomes in the literature. This thesis examines how factor scoring methods compare when estimating regression coefficients in generalised linear factor score regression. An evaluation is made of the regression, correlation-preserving, total sum, and weighted sum method in ordinary, logistic, and Poisson factor score regression. In contrast to previous studies, both the mean and variance of loading coefficients and the degree of inter-factor correlation are varied in the simulations. A meta-analysis demonstrates that the choice of factor scoring method can substantially influence research conclusions. The regression and correlation-preserving method outperform the other two methods in terms of coefficient and standard error bias, accuracy, and empirical Type I error rates. Moreover, the regression method generally has the best performance. It is also noticed that performance can differ notably across the considered regression models.
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12

Kahraman, Serhan. "Determination Of A Price Index For Escalation Of Building Construction Costs In Turkey." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606388/index.pdf.

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Construction cost indices are developed to measure the degree of price variations in construction material and labor costs. However, each specific type of construction is a combination of unique set of materials and labor. As such, the degree of price variations referring to each specific type of construction shall be measured by specific price indices, in order to achieve more accurate results. In Turkey, Producer Price Index (PPI) published by State Statistics Institute is commonly used for the escalation of building costs. This study aims to compare the existing cost indices as well as new alternative cost indices in terms of their adequacy for the representation of variations in the building costs in Turkey. The developed price indices will be tested to measure their fit with the cost of building projects, will be compared with the price indices published by the Ministry of Public Works and Settlement and also State Statistics Institute, and finally the most adequate price indices among the examined ones to be used for building projects will be selected. Moreover, models representing past price movements will be developed.
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13

Park, Soyoun. "Penalized method based on representatives and nonparametric analysis of gap data." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37307.

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When there are a large number of predictors and few observations, building a regression model to explain the behavior of a response variable such as a patient's medical condition is very challenging. This is a "p ≫n " variable selection problem encountered often in modern applied statistics and data mining. Chapter one of this thesis proposes a rigorous procedure which groups predictors into clusters of "highly-correlated" variables, selects a representative from each cluster, and uses a subset of the representatives for regression modeling. The proposed Penalized method based on Representatives (PR) extends the Lasso for the p ≫ n data and highly correlated variables, to build a sparse model practically interpretable and maintain prediction quality. Moreover, we provide the PR-Sequential Grouped Regression (PR-SGR) to make computation of the PR procedure efficient. Simulation studies show the proposed method outperforms existing methods such as the Lasso/Lars. A real-life example from a mental health diagnosis illustrates the applicability of the PR-SGR. In the second part of the thesis, we study the analysis of time-to-event data called a gap data when missing time intervals (gaps) possibly happen prior to the first observed event time. If a gap occurs prior to the first observed event, then the first observed event may or may not be the first true event. This incomplete knowledge makes the gap data different from the well-studied regular interval censored data. We propose a Non-Parametric Estimate for the Gap data (NPEG) to estimate the survival function for the first true event time, derive its analytic properties and demonstrate its performance in simulations. We also extend the Imputed Empirical Estimating method (IEE), which is an existing nonparametric method for the gap data up to one gap, to handle the gap data with multiple gaps.
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14

Lanros, Diana, and Gabriella Glimskog. "Är kapitalstruktur branschspecifikt? : En studie om kapitalstrukturen i olika branscher på den svenska marknaden." Thesis, Södertörns högskola, Institutionen för samhällsvetenskaper, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-19563.

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Spelar finansiering roll och hur bör fördelningen mellan eget kapital och skulder se ut? Kapitalstruktur har studerats i många års tid och forskare har försökt finna de faktorer som kan påverka kapitalstruktur och om skuldsättningsgraden påvisar samband mellan olika betydande variabler. Syftet med denna studie är att undersöka kapitalstrukturen hos företag inom olika branscher i avseende på skuldsättningsgrad, tillväxt, företagsstorlek och företagsålder. Undersökningen är genomförd utifrån en kvantitativ ansats som omfattar 50 företag på NASDAQ OMX Stockholm. Korrelation- samt regressionsanalyser genomfördes för att undersöka sambandet mellan företagsstorlek, företagsålder samt tillväxttakt som oberoende variabler och skuldsättningsgrad som beroende variabel. Studien har visat att företagsålder är en branschspecifik variabel som påverkar skuldsättningsgraden på olika sätt beroende på bransch. Samtidigt som företagsstorlek och tillväxttakt har visat sig vara icke branschspecifika variabler. Studien har även kunnat klargöra att vissa branscher är mer homogena än andra i avseende på kapitalstruktur.
How important is the capital structure and how should equity and debt be divided within a company? Capital structure has been studied for many years, and researchers have attempted to identify the factors that can affect the capital structure and if the leverage ratio shows significant correlations between different variables. The purpose of this study is to examine the capital structure of companies in different industries in terms of leverage, growth, company size and company age. The survey was conducted based on a quantitative approach, which includes 50 companies on NASDAQ OMX Stockholm. Correlation-and regression analyzes were conducted to examine the relationship between company size, company age and growth rate as independent variables and leverage as the dependent variable.  The study has shown that business age is an industry-specific variable affecting leverage in different ways depending on the industry. While firm size and growth rate has been found to be non-industry-specific variables. The study was also able to clarify that some industries aremore homogenous than others in terms of capital structure.
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Jankech, Aleš. "Vliv přítomnosti zeleně na cenu nemovitostí." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-15812.

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My Diploma thesis is focused on economic evaluation of gratuitous goods, especially on hedonic price method. The core of this paper is theoretical description and practical usage of HPM. Main theme is "Influence of plantscape on flat price.
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Šubová, Lucie. "Vývoj inkasa daně z příjmů fyzických osob v ČR." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-192672.

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This diploma thesis analyses the development of tax collection from personal income tax in the Czech Republic from 2000 to 2012. The first chapter describes the tax reforms that took place in the period in the Czech Republic. Furthermore, it describes the relationship of collection and GDP. In the second chapter I analyse the PIT collection as whole. By regression and correlation analysis I shall identify the relationship and the degree of dependence between collection and different variables such as GDP, the number of taxpayers, unemployment and sub-collections. In the third chapter, the PIT collection is divided into three sub-collections -- levied on tax returns, from employment and withholding. Each of the sub-collection is analysed separately. I describe factors that in a given year or in group of years the most influenced their size. By regression and correlation analysis I shall identify the relationship and the degree of dependence between the sub-collections and GDP. Likewise, I shall identify the relationship and the degree of dependence between the sub-collections each other. In the last chapter the PIT collection is divided by individual financial authorities, ie by region. The development of tax collection in each region is analysed and by regression and correlation analysis is detected the relationship and the degree of dependence between the regional collections and GDP.
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Brodová, Zuzana. "Determinanty mzdového vývoje v regionech České republiky." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241546.

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This master´s thesis deals with the creation of a model that explains the relationship between the amount of gross wages and selected economic factors in different regions of the Czech Republic. First part contains an explanation of terms of economic and statistical area. The second part deals with the creation of data basis and numerical model calculations. In this section the results of the analyzes are presented. The third part is focused on evaluation of the obteined results.
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Holtmanová, Tereza. "Posouzení vybraných ukazatelů firmy pomocí časových řad." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241571.

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This master´s thesis deals with the assessment of selected comany indicators using time lines. It contains theoretical statements describing the problems of time lines, regression analysis and correlation analysis. Practical part focuses on application of theoretical statements, in another words using the fomulas and graphical representation of selected economical indicators. Suggestions on improving the current situation of company are proposed based on the relults.
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Shalaginova, Daria. "Posouzení vybraných ukazatelů společnosti pomocí statistických metod." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2020. http://www.nusl.cz/ntk/nusl-414494.

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Master’s thesis is aimed at assessing the selected financial indicators of the company using statistical methods. Based on the results, the current situation of the company is evaluated. The thesis consists of three parts. The first part contains the necessary theoretical bases for processing the analytical part. The second part is devoted to the analysis of selected indicators, which are then applied statistical methods to the prediction of the future development of these indicators and findings, here between these indicators there is a dependence. At the end of this part, there is an evaluation of the analyzed indicators. The third part presents appropriate proposals for solutions to existing problems caused by indicators that deviate from the recommended values.
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Godfrey, Jodi Anne. "Risk-Taking Characteristics as Explanatory Variables in Variations of Fatality Rates in the Southeastern United States." Scholar Commons, 2015. https://scholarcommons.usf.edu/etd/5483.

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Traffic fatalities accounted for 1.24 million lives lost in 2013 worldwide, and almost 33 thousand of those fatalities were in the U.S. in 2013. The southeastern region of the nation stands out for continuously having higher fatality rates per mile driven than the national average. If one can establish compelling relationships between various factors and fatality rates, then policies and investments can be targeted to increase the safety on the network by focusing on policies that mitigate those factors. In this research effort risk-taking characteristics are explored. These factors have not been as comprehensively reviewed as conventional factors such as vehicle and facility conditions associated with safety. The hypothesis assumes if a person exhibits risk-taking behavior, that risk-taking behavior is not limited to only one aspect of risk, but is likely to occur in multiple facets of the person's life. Some of the risk-taking characteristics explored include credit score, safety belt use, smoking and tobacco use, drug use, mental health, educational attainment, obesity, and overall general health characteristics. All risk-taking characteristics with the exception of mental health were found to have statistically significant correlations with fatality rates alone. However, when a regression model was formed to estimate fatality rates by risk-taking characteristics, only four risk-taking characteristics - credit score, educational attainment, overall poor health, and seat belt use were found to be statistically significant at an integrated level with other demographic characteristics such as unemployment levels and population born is state of residency. By identifying at-risk population segments, education, counseling, enforcement, or other strategies may be deployed to help improve travel safety.
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Echiejile, Faith. "Analysis of Monthly Suspended Sediment Load in Rivers and Streams Using Linear Regression and Similar Precipitation Data." Youngstown State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1629203139818238.

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Šebestová, Monika. "Posouzení finanční výkonnosti podniku pomocí statistických metod." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224470.

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The master’s thesis deals with the assessment of the financial performance of a company using statistical methods. The theoretical part describes the problems of time series, regression analysis, correlation analysis and financial analysis. In the practical part statistical methods are used to reveal the dependence between the indicators and the prediction of the future development of the company in the coming years. On the basis of established results the company is compared with two important rivals, and there are made some suggestions how to improve its economic situation.
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Turisová, Alena. "Posouzení vybraných ukazatelů pomocí analýzy časových řad." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-317063.

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Master's thesis deals with the assessment of selected financial indicators of the production company X in order to evaluate its performance and financial situation. Based on the results of the analyzes for the period 2008 to 2015 and the application of statistical methods of time series analysis and regression analysis, prognosis of future development of monitored indicators are obtained. Subsequently, the prognosis are used for the final formulating of proposals to improve future business efficiency of the company.
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Matys, Jan. "Posouzení ekonomické situace společnosti a návrhy na její zlepšení." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2019. http://www.nusl.cz/ntk/nusl-402020.

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The diploma thesis evaluates the economic situation of BPS Bicycle Industrial s. r. o. time series analysis. The theoretical part describes financial indicators, time series analyzes and regression and correlation analysis. Based on the analyzes, suggestions were made to improve the current situation of the company. BPS has proven to be financially sound. Shortcomings to improvement were identified from the analyzes. For example, share of equity and debt, use of surplus funds and turnover of receivables and payables. This ratio needs to be addressed through greater use of debt. The system of sanctions is solution for problem the turnover of receivables and the use of surplus funds by investing in shares.
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Bednářová, Veronika. "Posouzení vybraných ukazatelů společnosti pomocí statistických metod." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-443126.

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The diploma thesis is focused on the assessment of selected indicators using statistical methods. The first part is devoted to theoretical background, which describes financial indicators, time series analysis and regression and correlation analysis. The second part deals with the analysis of selected indicators and statistical analysis, which predicts the values of indicators for the next two years. Then correlation analysis is created, which determines the dependence between selected financial indicators. The last part is devoted to proposals leading to the improvement of the current situation of the company.
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Johanides, Petr. "Posouzení vybraných ukazatelů firmy pomocí statistických metod." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241622.

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Master’s thesis assesses the financial and economic situation of the joint-stock company Composite Components. There are theoretical aspects including financial, regression and correlation analysis in the first part of the thesis. Financial indicators are computed and then subjected to the mentioned analyses in order to get prognoses for following years. The created suggestions which are in the end of the thesis are based on the indicators and prognoses.
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Hofmanová, Aneta. "Posouzení vybraných ukazatelů společnosti pomocí statistických metod." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2018. http://www.nusl.cz/ntk/nusl-377969.

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Master's thesis deals with the assessment of selected financial indicators of the company through a financial analysis and statistical methods, on the basis of which then evaluates the current situation of the company. The thesis is divided into three parts. The theoretical part contains the issues necessary for the analytical part. The analytical part is focused on the analysis of selected indicators and the subsequent application of statistical methods to predict their future development and to detect dependencies between the indexes. The last part formulates possible solutions to problems caused by financial indicators that do not reach the required values.
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Rešková, Petra. "Posouzení vybraných ukazatelů společnosti pomocí statistických metod." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2020. http://www.nusl.cz/ntk/nusl-414492.

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Master´s thesis deals with the assessment of selected financial indicators of the company using a statistical methods. The first part is focused on the theoretical description of financial indicators, time series analysis as well as regression and correlation analysis. The practical part contains a statistical analysis of selected indicators with subsequent prediction of indicators for the next two years. The practical part also contains a comparison of selected indicators with the industry average and a correlation analysis to determine the dependence of selected indicators. The last part contains suggestions to improve the situation of the company.
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Costa, Julio C. "Analysis and optimization of empirical path loss models and shadowing effects for the Tampa Bay area in the 2.6 GHz band." [Tampa, Fla] : University of South Florida, 2008. http://purl.fcla.edu/usf/dc/et/SFE0002547.

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Zaldivar, Cynthia. "On the Performance of some Poisson Ridge Regression Estimators." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3669.

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Multiple regression models play an important role in analyzing and making predictions about data. Prediction accuracy becomes lower when two or more explanatory variables in the model are highly correlated. One solution is to use ridge regression. The purpose of this thesis is to study the performance of available ridge regression estimators for Poisson regression models in the presence of moderately to highly correlated variables. As performance criteria, we use mean square error (MSE), mean absolute percentage error (MAPE), and percentage of times the maximum likelihood (ML) estimator produces a higher MSE than the ridge regression estimator. A Monte Carlo simulation study was conducted to compare performance of the estimators under three experimental conditions: correlation, sample size, and intercept. It is evident from simulation results that all ridge estimators performed better than the ML estimator. We proposed new estimators based on the results, which performed very well compared to the original estimators. Finally, the estimators are illustrated using data on recreational habits.
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31

Skácel, Zdeněk. "Posouzení výkonnosti firmy ČSAD Kyjov Logistics a.s." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2015. http://www.nusl.cz/ntk/nusl-225019.

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Master's thesis deals with the assessment of financial performance of the company ČSAD Kyjov Logistics a.s. The theoretical part explains the theoretical basis of financial analysis, regression analysis, the issue of time series, correlation analysis and benchmarking. In the practical part contains the results of the financial analysis, some of which are subjected to statistical analysis, which analyzes the dependencies between indicators and their development for the next two seasons. The Company is also compared with two competing companies and are given suggestions to improve business performance.
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32

Pastyřík, Jaroslav. "Posouzení výkonnosti firmy pomocí statistických metod." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2015. http://www.nusl.cz/ntk/nusl-225066.

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The master’s thesis deals with the evaluation of financial efficiency of the company Bučovice Tools, a.s. using statistical methods. The theoretical part describes financial analysis, time series analysis, regression analysis and correlation analysis. In the practical part, the selected indicators of financial analysis are subjected to statistical analysis to detect dependence between indicators and to determine the prediction of the future development. Based on the financial results, the company is compared with a chosen company and with average indicators of the industry and are designed possibilities to improve the economic situation.
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33

Janse, Van Rensburg Roedolf Arnoldus. "Superior investment returns : the role of value-based investment / R.A. Janse van Rensburg." Thesis, North-West University, 2009. http://hdl.handle.net/10394/4792.

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The strong form of the efficient market hypothesis (EMH) puts forward that it is impossible to achieve better than market results. Yet there are very famous investors, particularly a famous value based investor named Warren Buffett that have achieved better than market returns. The primary objective of this study is to investigate the role of value based investment in generating better than market or superior investment returns. The study was conducted both as a literature study and an empirical study. The objectives of the literature study were threefold. Firstly, to discover value based investment as part of a discussion on investment strategies. Secondly, to investigate the possibility of achieving better than market returns. Lastly, to investigate the role of value based investing in achieving better than market returns. Through the literature study, value based investment parameters were also identified for empirical testing. It was found in the literature that value based investing has a role to play in achieving superior returns. By way of the application of correlation-based research, as well as regression analysis it was found that there is significant statistical evidence to underscore that value based investment parameters can lead to superior returns.
Thesis (M.B.A.)--North-West University, Vaal Triangle Campus, 2010.
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Cislerová, Šárka. "Vývoj poskytování hypotečních úvěrů českým domácnostem." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-77752.

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This thesis focuses on analyzing the development of mortgage loans which were provided by Czech households. The first chapter is devoted to the theory of mortgage loans and their basic characteristics. In the second chapter I focus on credit risk. Its management, monitoring and reduction methods. The third chapter includes the causes of debt and the amount of elemental analysis based on macroeconomic variables of mortgage loans (mortgage loan rate, GDP, inflation, unemployment, gross wage). Proof of this dependence is part of the last chapter using regression and correlation analysis.
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35

Frisch, Walter. "Co-Evolution of Information Revolution and Spread of Democracy. 33. Jahrestagung der Gesellschaft für Informatik an der Johann Wolfgang Goethe-Universität in Frankfurt am Main 29.9. - 2.10. 2003." Gesellschaft für Informatik, 2003. http://epub.wu.ac.at/3209/1/CO%2DEvolution%2DWFRISCH.pdf.

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This is a short summary of a recent survey [FR03] focusing on the observed evidence, that Internet connectivity is positively correlated with spread of democracy at high levels of significance. The results of multivariate correlation analysis and probabilities regression estimate models are based on the combined analysis of mid - 1991's, to 2001 data series of the Eurostat's and US Census Bureau, the World Bank, and OECD's statistical data service which track the growth of information technology and rating of freedom and democracy worldwide.(author's abstract)
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36

Herčková, Simona. "Posouzení výkonnosti firmy pomocí statistických metod." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241173.

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The master’s thesis deals with the assessment of the financial performance of the company using statistical methods. The theoretical part describes the issues necessary for the practical part, financial indicators, time series, regression analysis and correlation analysis. In the practical part of the work is a calculation of selected financial indicators, then statistical methods are used to predict future developments and to detect dependencies between the indexes. The last section contains suggestions for improving the current situation.
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37

Petrová, Veronika. "Posouzení výkonnosti akciové společnosti pomocí statistických metod." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2018. http://www.nusl.cz/ntk/nusl-378000.

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The master´s thesis deals with theassesment of financial performance of YXZ, a. s. using statistical methods. The theoretical part describes the issues necessary for the practical part, financial indicators, time series, regression and correlation analysis. The analytical part analyzes selected financial indicators, then statistical methods are used to predict future development for the coming two years and to detect dependencies between the indexes. The last part of the thesis contains suggestions for improving the company's existing financial efficiency based on the calculations from the practical part.
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38

Hassani, Mujtaba. "CONSTRUCTION EQUIPMENT FUEL CONSUMPTION DURING IDLING : Characterization using multivariate data analysis at Volvo CE." Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-49007.

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Human activities have increased the concentration of CO2 into the atmosphere, thus it has caused global warming. Construction equipment are semi-stationary machines and spend at least 30% of its life time during idling. The majority of the construction equipment is diesel powered and emits toxic emission into the environment. In this work, the idling will be investigated through adopting several statistical regressions models to quantify the fuel consumption of construction equipment during idling. The regression models which are studied in this work: Multivariate Linear Regression (ML-R), Support Vector Machine Regression (SVM-R), Gaussian Process regression (GP-R), Artificial Neural Network (ANN), Partial Least Square Regression (PLS-R) and Principal Components Regression (PC-R). Findings show that pre-processing has a significant impact on the goodness of the prediction of the explanatory data analysis in this field. Moreover, through mean centering and application of the max-min scaling feature, the accuracy of models increased remarkably. ANN and GP-R had the highest accuracy (99%), PLS-R was the third accurate model (98% accuracy), ML-R was the fourth-best model (97% accuracy), SVM-R was the fifth-best (73% accuracy) and the lowest accuracy was recorded for PC-R (83% accuracy). The second part of this project estimated the CO2 emission based on the fuel used and by adopting the NONROAD2008 model.  Keywords:
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Rizzato, Fernanda Bührer. "Modelos de regressão log-gama generalizado com fração de cura." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-19032007-152443/.

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Neste trabalho considera-se uma reparametrização no modelo log-gama generalizado para a inclusão de dados com sobreviventes de longa duração. Os modelos tentam estimar separadamente os efeitos das covariáveis na aceleração ou desaceleração no tempo e na fração de sobreviventes que é a proporção da população para o qual o evento não ocorre. A função logística é usada para o modelo de regressão com fração de cura. Os parâmetros do modelo, serão estimados através do método de máxima verossimilhança. Alguns métodos de influência, como a influência local e a influência local total de um indivíduo, serão introduzidos, calculados, analisados e discutidos. Finalmente, um conjunto de dados médicos será analisado sob o modelo log-gama generalizado com fração de cura. Uma análise de resíduos será executada para verificar a qualidade de ajuste do modelo.
In this work the generalized log-gama model is modified for possibility that long-term survivors are present in the data . The models attempt to estimate separately the effects of covariates on the accelaration/decelaration of the timing of a given event and surviving fraction; that is, the proportion of the population for which the event never occurs. The logistic function is used for the regression model of the surviving fraction. Inference for the model parameters is considered via maximum likelihood. Some influence methods, such as the local influence, total local influence of an individual are derived, analyzed and discussed. Finally, a data set from the medical area is analyzed under log-gama generalized mixture model. A residual analysis is performed in order to select an appropriate model.
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Santana, Tiago Viana Flor de. "As distribuições Kumaraswamy-log-logística e Kumaraswamy-logística." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-29112010-093844/.

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Neste trabalho apresenta-se duas novas distribuições de probabilidade obtidas de dois métodos de generalização da distribuição log-logística com dois parâmetros (LL(?,?)). O primeiro método descrito em Marshall e Olkin (1997) transforma a nova distribuição, agora com três parâmetros e denominada distribuição log-logística modificada (LLM (v,?,?)), mais flexível porém, não muda a forma geral da função de taxa de falha e o novo parâmetro v, não influência no cálculo da assimetria e curtose. O segundo método utiliza a classe de distribuições Kumaraswamy proposta por Cordeiro e Castro (2010), para construir a nova distribuição de probabilidade, denominada distribuição Kumaraswamy log-logística (Kw-LL(a,b,?,?)), a qual considera dois novos parâmetros a e b obtendo ganho nas formas da função de taxa de falha, que agora além de modelar dados onde a função de taxa de falha tem forma decrescente e unimodal, modela forma crescente e forma de U. Também foi proposto as distribuições logística modificada (LM (v,µ,?)) e Kumaraswamy logística (Kw-L (a,b, µ,?)$) para a variável Y=log(T), em que T ~ LLM (v,?,?) no caso da distribuição logística modificada e T ~ Kw-LL(a,b,?,?) no caso da distribuição Kw-L. Com reparametrização ? = exp(µ) e ? = 1/?. Da mesma forma que a distribuição LLM, não há ganho quanto a forma da função de taxa de falha da distribuição logística modificada e o parâmetro v não contribuiu para o cálculo da assimetria e curtose desta distribuição. O modelo de regressão locação e escala foi proposto para ambas as distribuições. Por fim, utilizou-se dois conjuntos de dados, para exemplificar o ganho das novas distribuições Kw-LL e Kw-L em relação as distribuições log-logística e logística. O primeiro conjunto refere-se a dados de tempo até a soro-reversão de 143 crianças expostas ao HIV por via vertical, nascidas no Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto no período de 1995 a 2001, onde as mães não foram tratadas. O segundo conjunto de dados refere-se ao tempo até a falha de um tipo de isolante elétrico fluido submetivo a sete níveis de voltagem constante.
In this work, are presented two new probability distributions, obtained from two generalization methods of the log-logistic distribution, with two parameters (LL (?, ?)). The first method described in Marshall e Olkin (1997) turns the new distribution, now with three parameters, called modified log-logistic distribution (LLM(v, ?, ?)). This distribution is more flexible, but, does not change the general shape of the failure rate function, as well as the new parameter v, does not influence the calculus of skewness and kurtosis. The second method, uses the class of distributions Kumaraswamy proposed by Cordeiro and Castro (2010). To build the new probability distribution, called Kumaraswamy log-logistic distribution (Kw-LL(a,b,?,?)), which considers two new parameters a and b gaining in the forms of failure rate function, that now, even modeling data where the failure rate function has decreasing and unimodal shape, models the increasing form and the U-shaped. Also, were proposed the distributions modified logistic (LM (v,µ,?)) and Kumaraswamy logistics (Kw-L (a,b,µ,?)) for the variable Y=log(T), where T ~ LLM(v,?,?) in the case of the modified logistic distribution and T ~ Kw-LL (a,b,?,?) in the case of Kw-L distribution, with reparametrization ? =exp(µ) and ? = 1/?. As in the distribution LLM, there is no gain for the shape of the failure rate function of modified logistic distribution and the parameter v does not contribute to the calculation of skewness and kurtosis of the distribution. The location and scale regression models were proposed for both distributions. As illustration, were used two datasets to exemplify the gain of the new distributions Kw-LL and Kw-L compared with the log-logistic and logistic distributions. The first dataset refers to the data of time until soro-reversion of 143 children exposed to HIV through vertical, born in the Hospital of the Medical School of Ribeirão Preto during the period 1995 to 2001, where mothers were not treated. The second dataset refers to the time until the failure of a type of electrical insulating fluid subjected to seven constant voltage levels
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41

Anikėnienė, Asta. "Research and modeling of the recent vertical movements of the Earth’s Сrust on the basis of geodetic measurements (samples on Lithuanian territory)." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2009. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2009~D_20090309_141501-24272.

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The thesis deals with the studies on the velocities of the recent vertical movements of the Earth’s Crust by applying correlation, regression and multi-criteria analysis of geo-parameters of the territory. The objective of the research involves the regularities of the recent vertical movements of the Earth’s Crust, the relationship with the geo-parameters of the territory, models of forecasting for movements and methodology of compiling maps on the vertical movements of the Earth’s Crust. The experimental subject matter is the territory of Lithuania. The major task of the thesis is to work out the method for estimation and modelling of the recent vertical movements of the Earth’s Crust measured by applying geodetic methods and to implement the suggested method for compilation of the map of the recent vertical movements of the Earth’s Crust within the territory of Lithuania. In order to achieve the determined target, the following tasks were solved: 1) there were determined the values of the measured recent vertical movements of the Earth’s crust from the data of the repeated levelling; 2) there were examined the regularities of the change of the recent vertical movements of the Earth’s Crust; 3) there was investigated and determined the relationship of the measured recent vertical movements of the Earth’s Crust and geo-parameters of the territory; 4) there were analysed the possibilities of application regressive models for forecasting regarding recent verticals movements of... [to full text]
Disertacijoje nagrinėjami dabartiniai vertikalieji Žemės plutos judesių greičiai taikant teritorijos georodiklių koreliacinę, regresinę ir daugiakriterinę analizę. Pagrindinis tyrimo objektas – dabartinių vertikaliųjų Žemės plutos judesių dėsningumai, sąsajos su teritorijos georodikliais, judesių prognozavimo modeliai ir vertikaliųjų Žemės plutos judesių žemėlapio sudarymo metodika. Eksperimentinis objektas – Lietuvos teritorija. Pagrindinis disertacijos tikslas – parengti geodeziniais metodais išmatuotų dabartinių vertikaliųjų Žemės plutos judesių modeliavimo bei vertinimo metodiką ir ją taikant sudaryti Lietuvos teritorijos dabartinių vertikaliųjų Žemės plutos judesių žemėlapį. Siekiant įgyvendinti užsibrėžtą tikslą, išspręsti šie uždaviniai: 1) remiantis kartotinių niveliacijų duomenimis, nustatytos išmatuotų dabartinių Žemės plutos judesių reikšmės; 2) ištirti dabartinių vertikaliųjų Žemės plutos judesių kaitos dėsningumai; 3) ištirtos ir nustatytos išmatuotų dabartinių vertikaliųjų Žemės plutos judesių ir teritorijos georodiklių sąsajos; 4) išnagrinėtos regresinių modelių taikymo dabartiniams vertikaliesiems Žemės plutos judesiams prognozuoti galimybės ir parengtos rekomendacijos juos taikyti sudarant vertikaliųjų Žemės plutos judesių žemėlapius; 5) įvertinti dabartinių vertikaliųjų Žemės plutos judesių regresiniai prognozavimo modeliai taikant daugiakriterinės analizės metodiką; 6) taikant pasiūlytą metodiką, sudarytas Lietuvos teritorijos dabartinių vertikaliųjų Žemės... [toliau žr. visą tekstą]
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42

Dargis, Evaldas. "Statistinių metodų taikymas tyrimo rezultatams apdoroti." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2011. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110804_094737-09571.

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Šiame darbe pateikta nuosekli statistinės analizės metodika tyrimo rezultatams apdoroti ir nagrinėjamos kriterijų taikymo galimybės. Pasiūlyti kriterijai ryškiai išsiskiriantiems duomenims atmesti, nurodyti kriterijai tyrimo rezultatų atsitiktinumui ir nepriklausomumui bei pasiskirstymo pagal normalųjį dėsnį hipotezėms tikrinti, atlikta tyrimo rezultatų koreliacinė ir regresinė analizė ir pasirinkto regresinio modelio adekvatumo tikrinimas panaudojus Fišerio kriterijų.
The paper provided a consistent statistical analysis techniques to process the results of the study and analyze the possibility of application of the criteria. Propose criteria for emissions during the data significantly rejected by the criteria set out in the survey results to chance and the independence of the distribution under the normal law of hypotheses to verify the results of research carried out correlation and regression analysis and the selected regression model for testing the adequacy of using the Fisher criterion.
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43

Biz, Guilherme. "Análise Bayesiana de ensaios fatoriais 2k usando os princípios dos efeitos esparsos, da hierarquia e da hereditariedade." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-24022010-092341/.

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No Planejamento de experimentos para o ajuste de modelos polinomiais envolvendo k fatores principais e respectivas interações, e bastante comum a utilização dos fatoriais 2k, 3k ou frações dos mesmos. Para as analises dos resultados desses experimentos, freqüentemente se considera o princípio da hereditariedade, ou seja, uma vez constatada uma interação significativa entre fatores, os fatores que aparecem nesta interação e respectivas interações devem também estar presentes no modelo. Neste trabalho, esse princípio e incorporado diretamente a priori, para um método de seleção de variáveis Bayesiana, seguindo as idéias propostas por Chipman, Hamada e Wu (1997), porem com uma alteração dos valores sugeridos pelos autores para os hiperparâmetros. Essa alteração, proposta neste trabalho, promove uma melhoria considerável na metodologia original. A metodologia e então ilustrada por meio da analise dos resultados de um experimento fatorial para a elaboração de biofilmes de amido originado da ervilha.
In experimental planning for adjustment of polynomials models involving k main factors and their interactions, it is frequent to adopt the 2k, 3k designs or its fractions. Furthermore, it is not unusual, when analysing the results of such experiments, to consider the heredity principle. In other words, once detected a signicant interaction between factors, the factors that appear in this interaction and respective interactions should also be present in the model. In this work, this principle is incorporated directly in the prior, following the ideas proposed by Chipman, Hamada and Wu (1997), but changing some of the hyperparameters. What improves considerably the original methodology. Finally the methodology is illustrated by the analysis of the results of an experiment for the elaboration of pea starch biolms.
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44

Oliveira, Priscila de. "A importância da monitoração de variáveis macroeconômicas nos sistemas de informação : evidenciação através de um caso na indústria transformadora de papéis." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2011. http://hdl.handle.net/10183/31764.

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O estudo realizado numa indústria transformadora de papéis teve por objetivo contribuir para a evidenciação da importância do monitoramento das variáveis macroeconômicas nos sistemas de informação. Existem ferramentas tecnológicas para processar esse tipo de informação e a literatura oferece suporte para a necessidade desse monitoramento, no entanto, esta prática tem sido objeto de um número limitado de trabalhos empíricos e tem recebido relativamente pouca atenção no ambiente empresarial. Uma possível justificativa, talvez seja a complexidade e o dinamismo dos dados que, além de estarem em constante oscilação per si, interagem entre si e podem ter impactos distintos em cada um dos produtos de uma mesma empresa. A pesquisa que deu origem a esta dissertação, foi realizada como um estudo exploratório descritivo, utilizando-se métodos estatísticos para processar variáveis internas e externas para analisar a importância das variáveis macroeconômicas no gerenciamento de informações de uma empresa selecionada. Escolheu-se uma só empresa com um leque diversificado de produtos e sua relação com seu ambiente externo. Na complexidade interna do negócio foram escolhidos os produtos mais representativos da empresa e cada um deles foram explorados através de duas ferramentas de análise multivariada de dados. Primeiro, fez-se uso da correlação canônica para escolher as variáveis macroeconômicas que possuíam relação mais forte com os produtos selecionados e, em seguida, utilizou-se a regressão linear múltipla para identificar as elasticidades dos produtos em relação a cada uma das variáveis macroeconômicas. Os resultados obtidos, evidentemente, não esgotam o estudo da prática apontada, mas os objetivos propostos e alcançados pela pesquisa, evidenciaram a importância do monitoramento das variáveis macroeconômicas para o caso estudado.
The study formulated in a paper transforming industry intends to contribute in the demonstration of the importance of monitoring macroeconomic variables in Information Systems. There are technological tools to process those data and the literature offers support to this need, nevertheless the subject has receive little attention in the corporate background and was the object of few empiric papers. One reason may be the complexity and the dynamism of the data which besides being in constant oscillation interact among each other and may have distinct impacts in different products of the company. The research performed in this dissertation is categorized as a descriptive exploratory study, using statistical methods to process internal and external variables in order to analyze the importance of the macroeconomic variables in the information management in a firm of choice. It was chosen a single firm with a wide range of products and its relation with the external environment. In the internal complexity of the business it was chosen the most representative products and each one of them were analyzed trough two different multivariate data analysis. First the Canonic Correlation in order to select the macroeconomic variables with the strongest relation to the selected products, subsequently the Multiple Linear Regression with the intention of pinpointing the elasticity of the same products to each variable. The results clearly do not exhaust the subject, however corroborate with the proposed and reached objectives highlighting the importance of monitoring macroeconomic variables for the case studied.
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45

Trtková, Markéta. "Posouzení ekonomické situace společnosti a návrhy na její zlepšení." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2020. http://www.nusl.cz/ntk/nusl-414493.

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The diploma thesis evaluates the economic situation of the company Niveko s.r.o. in between years 2011 to 2018. The theoretical part describes financial indicators, time series, regression and correlation analysis. The analytical part contains calculations of financial indicators, some of which are selected for statistical analysis, which is used to determine the expected development of indicators in the next two years or to reveal the dependence between selected indicators. The last part contains suggestions for improving the current economic situation of the company.
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Espósito, Deiciana Pagano. "Análise de trilha em dados de produção e tecnológicos da cana-de-açúcar." Universidade Federal de Viçosa, 2010. http://locus.ufv.br/handle/123456789/4030.

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In order to quantify the direct and indirect effect through path analysis using phenotypic and genotypic values of yield components - number of stalks per plot, average diameter of stalks and their average length - affecting tons of cane per hectare, data from two experiments of sugarcane were considered. Regarding the productivity of cane per hectare data from two different experiments were obtained from cane plants and ratoon canes, in the beginning of the selection program of sugarcane improvement in the state of Minas Gerais. The following characteristics were evaluated at plot level: the tons of cane per hectare (TCH), as the main variable, and its yield components, number of stalks (NS), mean diameter of stalks (DS) and average length of stalks (LS) as explicative variables. The coefficient of determination were high in all path analyses, which, in turn, indicates that the evaluated components explain, considerably, the variation in TCH. Through the analysis of the direct fenotypic and genotypic effects, NS was the variable that best correlated to TCH in both experiments and stages showing a possibility of obtaining significant gain through indirect selection to TCH by NS. The evaluation of the cause and effect relations among the production components of sugarcane helped to verify the variation across the experiments, which is probably related to the different origins of the families evaluated. In the trail analysis, the parameters are estimated from matrix correlations that may be ill-conditioned by the multicollinearity effect among the involved variables. Due to this fact, the data were evaluated by using ratoon canes obtained from the program of sugarcane improvement at the Federal University of Viçosa in order to compare the method based on ridge regression and the exclusion of variables for main components to estimate the path coefficients under the presence of multicollinearity. Ten plants per plot were used to carry out the analyses on explaining variables Brix (percentage soluble solids), Pol, pH (potential of Hydrogen), RS (reduction sugar), TRS (Total reduction sugar), Cu (copper), Al (aluminum), Mg (magnesium), Ca (Calcium), K (Potassium), aconitic acid, phenolic compounds and the main variable sugarcane juice color (ICUMSA color). The matrix containing correlation obtained from the data were submitted to different methods to have the multicollinearity diagnostic. Under severe multicollinearity, the methods based on ridge regression and in main components presented similar results in the estimation of the path coefficients, causing sensitive reduction in the magnitude of the variance inflation factor associated with the direct and indirect effects of the path analysis. Therefore, in this study, it was possible to identify the variables Al, K and phenolic compounds as the ones that explain the sugarcane juice color. However, the other characters must be taken into account due to their great correlation and low magnitude of the direct effect, making evident the necessity of simultaneous selections of characters, with emphasis on characters that have significant indirect effect. For purposes of improvement, the indirect selection for the ICUMSA color through index selection involving variables such as Brix, Pol, RS, TRS, pH, Cu, Al, Mg, Ca, K, phenolic compounds and aconitic acid is recommended.
Com o objetivo de quantificar os efeitos diretos e indiretos, por meio da análise de trilha, utilizando valores fenotípicos e genotípicos dos componentes de produção - número de colmos por parcela, diâmetro médio de colmos e comprimento médio de colmos - sobre produtividade de colmos por hectare em cana-de-açúcar, foram obtidos dados de dois experimentos nas fases de cana-planta e cana-soca, em etapa inicial de seleção do programa de melhoramento da cana-de-açúcar no estado de Minas Gerais. Foram avaliados, ao nível de parcela, os caracteres tonelada de colmos por hectare (TCH), como variável principal, e seus componentes de produção, número de colmos (NC), diâmetro médio de colmos (DC) e comprimento médio de colmos (CC), como variáveis explicativas. Os coeficientes de determinação foram elevados em todas as análises de trilha, indicando que os componentes avaliados explicam grande parte da variação existente na produção de colmos. Pela análise dos efeitos diretos fenotípicos e genotípicos, NC foi a variável que melhor se correlacionou com TCH, em ambos os experimentos e estágios, demonstrando a possibilidade de obtenção de ganhos significativos por meio da seleção indireta para TCH via NC. A avaliação das relações de causa e efeito entre os componentes de produção em cana-de-açúcar possibilitou verificar que houve variação entre os experimentos, o que provavelmente se deve à origem diferenciada das famílias avaliadas. Como na técnica de análise de trilha os parâmetros são estimados a partir de matrizes de correlações que podem ser mal condicionadas por efeito de multicolinearidade entre as variáveis envolvidas, foram avaliados dados em cana-soca, obtidos do programa de melhoramento da cana-de-açúcar da Universidade Federal de Viçosa, para comparar o método baseado na regressão em crista e a exclusão de variáveis por componentes principais para a estimação dos coeficientes de trilha em presença de multicolinearidade. Foram amostradas dez plantas por parcela para realização das análises das variáveis explicativas Brix (teor de sólidos solúveis), Pol (teor de sacarose aparente), pH (indica o grau de acidez), AR (açúcares redutores), ART (açúcares totais recuperáveis), Cu (cobre), Al (alumínio), Mg (magnésio), Ca (cálcio), K (potássio), Ácido aconítico, Compostos fenólicos, e da variável principal Cor ICUMSA. A matriz de correlação obtida dos dados foi submetida a diferentes métodos para diagnóstico de multicolinearidade. Sob multicolinearidade severa, os métodos baseados na regressão em crista e em componentes principais apresentaram resultados semelhantes na estimação dos coeficientes de trilha, proporcionando sensível redução na magnitude dos fatores de inflação da variância associados aos efeitos diretos e indiretos da análise de trilha. Assim, foi possível identificar neste estudo, os caracteres alumínio (Al), potássio (K) e Compostos fenólicos como aqueles que melhor explicam a Cor do caldo. Contudo, os demais caracteres devem ser levados em consideração devido a elevada correlação existente e a baixa magnitude do efeito direto, evidenciando a necessidade de seleção simultânea de caracteres, com ênfase também nos caracteres cujos efeitos indiretos são significativos. Para fins de melhoramento, a seleção indireta para Cor do caldo, por meio de índice de seleção envolvendo as variáveis Brix, Pol, AR, ATR, pH, Cu, Al, Mg, Ca, K, Compostos fenólicos e Ácido aconítico é recomendável.
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47

Vendlová, Lucie. "Energetická bilance úsporných soustav vytápění v komlexním řešení energeticky úsporrných budov." Doctoral thesis, Vysoké učení technické v Brně. Fakulta stavební, 2014. http://www.nusl.cz/ntk/nusl-233804.

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The work deals with the impact assessment of selected parameters of residential buildings on their energy performance. Within the application of the theory of statistics database of selected residential buildings is analyzed in terms of different features that characterize it. In particular, the thermal insulating properties and individual sub-items in the energy balance are analyzed. Then the measured rate dependence of selected parameters affecting energy performance is examined using correlation and regression analysis. The results are applied in the development of computational tools for evaluating energy flows in the building.
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48

Krier, Timothy James. "An Exploratory Study of Professional Learning Community and Academic Optimism, and Their Impact on Student Achievement." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1405684219.

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49

Tarek, Md Tawhid Bin. "Optimal High-Speed Design and Rotor Shape Modification of Multiphase Permanent Magnet Assisted Synchronous Reluctance Machines for Stress Reduction." University of Akron / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=akron1510617496931844.

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50

Söderberg, Martin. "Identifying Website Usability Solely from Gaze Data of Visual Search." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-203976.

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If researchers are able to derive usability simply by analysing gaze data it provides a quick, objective and potentially automatic way of measuring the usability of an interface. In order to do that it is essential to know which traits of the gaze data that have an impact on usability. This paper investigates these traits by analysing different eye tracking metrics in the data. The goal is to see which of these metrics have a general correlation with usability. Previous research provides a clue about which metrics are useful when analysing usability. However, much of the research is based on subjective analysis or lacks in general applicability. This research provides an objective analysis that is independent of characteristics of the interface. A user study is done on 20 participants. They complete tasks on nine different ecommerce websites while their eye movements are recorded. Correlation is measured between usability and eye tracking metrics in order to investigate which metrics that are sensitive to changes in usability. The results show that fixational backtracks and number of fixations have the strongest correlation with usability. Previous research did suggest that both of these eye tracking metrics have an impact on usability.
Om det är möjligt för forskare att härleda användbarhet endast genom att analysera ögondata så tillhandahålls ett snabbt, objektivt och potentiellt automatiserat sätt att mäta användbarheten hos ett gränssnitt. För att göra detta är det avgörande att veta vilka karakteristiska drag i ögondatan som påverkar användbarheten. Denna rapport utforskar dessa drag genom att analysera olika mått i ögondatan. Målet är att se vilka av dessa mått som uppvisar en generell korrelation med användbarhet. Tidigare forskning förser oss med ledtrådar om vilka mått som är lämpliga att analysera när användbarhet ska mätas. Dock så är mycket av denna forskning baserad på subjektiv analys eller saknar generell tillämpbarhet. Denna rapport tillhandahåller en objektiv analys som är oberoende av karakteristiken hos gränssnittet. En användarstudie utförs på 20 deltagare. De utför uppgifter på nio olika webbsidor för e-handel medan deras ögonrörelser spelas in. Korrelation mäts mellan användbarhet och mått i ögondatan för att undersöka vilka mått som är känsliga för förändringar i användbarhet. Resultatet visar att tillbakabildande sackader och antal fixeringar har starkast korrelation med användbarhet. Tidigare forskning visade att båda dessa mått påverkades av användbarheten.
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