Relevant bibliographies by topics / Multiple Discriminant Analysis (MDA)

Academic literature on the topic 'Multiple Discriminant Analysis (MDA)'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Multiple Discriminant Analysis (MDA)"

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F.M. Radzi, N., A. Che Soh, A. J. Ishak, M. K. Hasan, and U. K. Mohamad Yusof. "Aromatic Herbs Classification by using Discriminant Analysis Techniques." Indonesian Journal of Electrical Engineering and Computer Science 5, no. 3 (March 1, 2017): 530. http://dx.doi.org/10.11591/ijeecs.v5.i3.pp530-535.

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<p>An electronic nose was used to distinguish between selected herb samples according to their family group species. This paper aims to evaluate the potential of using the electronic nose to characterize three groups of families of twelve herb species based on the discriminant analysis approach. The feature extraction involves the use of a signal processing technique that simplifies classification and yields optimal results. Two discriminant techniques:- the principal component analysis (PCA) and the multiple discriminant analysis (MDA) were used to investigate the potential to distinguish herb species between several herbs within the same family group. The results showed that the twelve herb species can be better classified using the MDA method compared to the PCA method.</p>
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Mvula Chijoriga, Marcellina. "Application of multiple discriminant analysis (MDA) as a credit scoring and risk assessment model." International Journal of Emerging Markets 6, no. 2 (April 12, 2011): 132–47. http://dx.doi.org/10.1108/17468801111119498.

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PurposeThe purpose of this research is to investigate whether inclusion of risk assessment variables in the multiple discriminant analysis (MDA) model improved the banks ability in making correct customer classification, predict firm's performance and credit risk assessment.Design/methodology/approachThe paper reviews literature on the application of financial distress and credit scoring methods, and the use of risk assessment variables in classification models. The study used a sample of 56 performing and non‐performing assets (NPA) of a privatized commercial bank in Tanzania. Financial ratios were used as independent variables for building the MDA model with a variation of five MDA models. Different statistical tests for normality, equality of covariance, goodness of fit and multi‐colinearity were performed. Using the estimation and validation samples, test results showed that the MDA base model had a higher level of predictability hence classifying correctly the performing and NPA with a correctness of 92.9 and 96.4 percent, respectively. Lagging the classification two years, the results showed that the model could predict correctly two years in advance. When MDA was used as a risk assessment model, it showed improved correct customer classification and credit risk assessment.FindingsThe findings confirmed financial ratios as good classification and predictor variables of firm's performance. If the bank had used the MDA for classifying and evaluating its customers, the probability of failure could have been known two years before actual failure, and the misclassification costs could have been calculated objectively. In this way, the bank could have reduced its non‐performing loans and its credit risk exposure.Research limitations/implicationsThe valiadation sample used in the study was smaller compared to the estimation sample. MDA works better as a credit scoring method in the banking environment two years before and after failure. The study was done on the current financial crisis of 2009.Practical implicationsUse of MDA helps banks to determine objectively the misclassification costs and its expected misclassification errors plus determining the provisions for bad debts. Banks could have reduced the non‐performing loans and their credit risks exposure if they had used the MDA method in the loan‐evaluation and classification process. The study has proved that quantitative credit scoring models improve management decision making as compared to subjective assessment methods. For improved credit and risk assessment, a combination of both qualitative and quantitave methods should be considered.Originality/valueThe findings have shown that using the MDA, commercial banks could have improved their objective decision making by correctly classifying the credit worthiness of a customer, predicting firm's future performance as well as assessing their credit risk. It has also shown that other than financial variables, inclusion of stability measures improves management decision making and objective provisioning of bad debts. The recent financial crisis emphasizes the need for developing objective credit scoring methods and instituting prudent risk assessment culture to limit the extent and potential of failure.
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Irewati, Titiek. "Prediksi Kinerja Keuangan Perusahaan Asuransi Jiwa dengan Mempergunakan Multiple Discriminant Analysis Step Wise." Journal Of Social Research 1, no. 9 (September 2, 2022): 1009–19. http://dx.doi.org/10.55324/josr.v1i9.218.

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Latar Belakang : Penilaian kesehatan keuangan perusahaan asuransi jiwa mempermudah masyarakat untuk memilih perusahaan yang dapat dipercaya. Tujuan : Pada penelitian ini, peneliti ingin mengetahui model fungsi yang dapat dipergunakan untuk melakukan pengelompokan perusahaan perusahaan asuransi jiwa di Indonesia berdasarkan kondisi kesehatan keuangannya dengan tolok ukur rasio rasio keuangan yang dianalisis mempergunakan Multiple Discriminant Analysis (MDA). Metode : Penelitian ini menggunakan metode Multiple Discriminant Analysis (MDA) stepwise membuat suatu model prediksi yang menggabungkan beberapa rasio keuangan sehingga lebih memudahkan interpretasi. Hasil : Pada penelitian ini, diperoleh rasio rasio keuangan yang berperan signifikan untuk membedakan kondisi keuangan perusahaan perusahaan asuransi adalah Rasio Asset, RBC dan Rasio Beban. Kesimpulan : Dalam hal ini diharapkan perusahaan asuransi jiwa harus mengelola operasionalnya sehingga dapat memberikan kepercayaan kepada konsumen.
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Urrechaga, Eloísa, Urko Aguirre, and Silvia Izquierdo. "Multivariable Discriminant Analysis for the Differential Diagnosis of Microcytic Anemia." Anemia 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/457834.

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Introduction. Iron deficiency anemia and thalassemia are the most common causes of microcytic anemia. Powerful statistical computer programming enables sensitive discriminant analyses to aid in the diagnosis. We aimed at investigating the performance of the multiple discriminant analysis (MDA) to the differential diagnosis of microcytic anemia.Methods. The training group was composed of 200β-thalassemia carriers, 65α-thalassemia carriers, 170 iron deficiency anemia (IDA), and 45 mixed cases of thalassemia and acute phase response or iron deficiency. A set of potential predictor parameters that could detect differences among groups were selected: Red Blood Cells (RBC), hemoglobin (Hb), mean cell volume (MCV), mean cell hemoglobin (MCH), and RBC distribution width (RDW). The functions obtained with MDA analysis were applied to a set of 628 consecutive patients with microcytic anemia.Results. For classifying patients into two groups (genetic anemia and acquired anemia), only one function was needed; 87.9%β-thalassemia carriers, and 83.3%α-thalassemia carriers, and 72.1% in the mixed group were correctly classified.Conclusion. Linear discriminant functions based on hemogram data can aid in differentiating between IDA and thalassemia, so samples can be efficiently selected for further analysis to confirm the presence of genetic anemia.
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Aly, Ibrahim M., H. A. Barlow, and Richard W. Jones. "The Usefulness of SFAS No. 82 (Current Cost) Information in Discriminating Business Failure: An Empirical Study." Journal of Accounting, Auditing & Finance 7, no. 2 (April 1992): 217–29. http://dx.doi.org/10.1177/0148558x9200700209.

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This study examines the usefulness of current cost information (CC) provided to meet the requirements of SFAS No. 33 and SFAS No. 82, as compared to historical cost information (HC) in discriminating business failure. The study also examines the usefulness of CC data as supplement to HC data. Two multivariate statistical techniques, multiple discriminant analysis (MDA) and logistic regression analysis (LRA), are used to derive the ex-post classification results. Three functions are developed based on ratios computed with HC, CC, and the combined HCICC. The resulting functions are used to classify fifty-two firms as failed or nonfailed. The analysis is repeated for three time periods: one, two, and three years before bankruptcy. The main results of the various analyses indicate that the combined HCICC model has more discriminant power than does the HC model alone in each of the three years before bankruptcy. LRA has a better classification rate than MDA for the selected sample.
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Bogdan, Siniša, Luka Šikić, and Suzana Bareša. "Predicting bankruptcy based on the full population of Croatian companies." Ekonomski pregled 72, no. 5 (2021): 643–69. http://dx.doi.org/10.32910/ep.72.5.1.

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This paper analyses the bankruptcy prediction based on the population of companies representative of the total business sector in Croatia. The representativity of the sample is achieved through the propensity score matching of the full population of bankrupt and similar non-bankrupt companies. The robust estimation of bankruptcy prediction is carried out through the multiple discriminant analysis (MDA) and logistic regression (logit). The results indicate high classification accuracy of both models, but more favourable performance of the logit estimation. Overall accuracy of the MDA model was 73.7%, while the overall accuracy of the logit model was 76.3%. The results serve as a bankruptcy estimation benchmark for the business sector in Croatia.
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Holbrook, Morris B., Eric A. Greenleaf, and Robert M. Schindler. "A Dynamic Spatial Analysis of Changes in Aesthetic Responses." Empirical Studies of the Arts 4, no. 1 (January 1986): 47–61. http://dx.doi.org/10.2190/v2x1-gme0-bwpx-xb86.

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Models of evaluative judgment in applied aesthetics generally assume that movements of objects' positions in a multidimensional perceptual space will produce corresponding changes in preferences. However, such spatial representations have usually been tested using static designs or, at best, longitudinal studies that fail to tie perceptual movements to shifts in affective response. This study reports what we believe to be a first dynamic analysis of changes in aesthetic responses. Specifically, twenty-nine aesthetically naive subjects supplied perceptual and affective ratings of twenty art prints on four occasions spaced a week apart. Multiple discriminant analysis (MDA) of the perception data created an MDA space representing each person's perceptions of each print at the beginning and end of the period. We then constructed each individual's preference function based on the MDA space, used beginning and ending perceived positions to compute changes in that preference function, regarded these as predictions of changes in actual affect, and correlated predicted with actual affective shifts to obtain a validity assessment of about r2 = .25 for our dynamic spatial analysis of trends in tastes.
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Sheppard, Brian E., Merhala Thurai, Peter Rodriguez, Patrick C. Kennedy, and David R. Hudak. "Improved Precipitation Typing Using POSS Spectral Modal Analysis." Journal of Atmospheric and Oceanic Technology 38, no. 3 (March 2021): 537–54. http://dx.doi.org/10.1175/jtech-d-20-0075.1.

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AbstractThe Precipitation Occurrence Sensor System (POSS) is a small X-band Doppler radar that measures the Doppler velocity spectra from precipitation falling in a small volume near the sensor. The sensor records a 2D frequency of occurrence matrix of the velocity and power at the mode of each spectrum measured over 1 min. The centroid of the distribution of these modes, along with other spectral parameters, defines a data vector input to a multiple discriminant analysis (MDA) for classification of the precipitation type. This requires the a priori determination of a training set for different types, particle size distributions (PSDs), and wind speed conditions. A software model combines POSS system parameters, a particle scattering cross section, and terminal velocity models, to simulate the real-time Doppler signal measured by the system for different PSDs and wind speeds. This is processed in the same manner as the system hardware to produce bootstrap samples of the modal centroid distributions for the MDA training set. MDA results are compared to images from the Multi-Angle Snowflake Camera (MASC) at the MASCRAD site near Easton, Colorado, and to the CSU–CHILL X-band radar observations from Greeley, Colorado. In the four case studies presented, POSS successfully identified precipitation transitions through a range of types (rain, graupel, rimed dendrites, aggregates, unrimed dendrites). Also two separate events of hail were reported and confirmed by the images.
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Vazquez-Brust, Diego A., and José Antonio Plaza-Úbeda. "What Characteristics Do the Firms Have That Go Beyond Compliance with Regulation in Environmental Protection? A Multiple Discriminant Analysis." Sustainability 13, no. 4 (February 9, 2021): 1873. http://dx.doi.org/10.3390/su13041873.

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This paper is focused on analyzing the characteristics of firms that have environmental performance beyond the requirements of regulation in environmental protection. To identify such characteristics, we propose a value and context model building on environmental paradigms as conceptualized by Dryzek’s environmental discourse theory. Using multiple discriminant analysis (MDA) to analyze data collected from a multi-respondent survey of Argentinean polluting firms, we identify distinctive characteristics of firms going beyond regulation and firms that do not comply with regulation. In particular, comparing with other five environmental discourses, endorsement of green growth is evaluated in its connection with compliance patterns. We find that supporting green growth discourse (also known as ecological modernization) is one of the characteristics of those firms that go beyond compliance in their environmental performance.
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Goldberg, Joseph H., and Jack C. Schryver. "Eye-Gaze Control of the Computer Interface: Discrimination of Zoom Intent." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 37, no. 19 (October 1993): 1370–74. http://dx.doi.org/10.1518/107118193784162272.

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An analysis methodology and associated experiment were developed to assess whether definable and repeatable signatures of eye-gaze characteristics are evident, preceding a decision to zoom-in, zoom-out, or not to zoom at a computer interface. This user intent discrimination procedure can have broad application in disability aids and telerobotic control. Eye-gaze was collected from 10 subjects in a controlled experiment, requiring zoom decisions. The eye-gaze data were clustered, then fed into a multiple discriminant analysis (MDA) for optimal definition of heuristics separating the zoom-in, zoom-out, and no-zoom conditions. Confusion matrix analyses showed that a number of variable combinations classified at a statistically significant level, but practical significance was more difficult to establish. Composite contour plots demonstrated the regions in parameter space consistently assigned by the MDA to unique zoom conditions. Peak classification occurred at about 1200-1600 msec. Improvements in the methodology to achieve practical real-time zoom control are considered.
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Dissertations / Theses on the topic "Multiple Discriminant Analysis (MDA)"

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Othman, Zarrog M. Z. "Classifying the aptitude of Civil Engineering Project Managers (CEPM) using Multivariate Discriminant Analysis (MDA)." Thesis, Loughborough University, 2007. https://dspace.lboro.ac.uk/2134/36041.

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Civil Engineering Project Managers (CEPMs) plan, direct and coordinate a wide variety of construction projects, including buildings of all types of residential, commercial, and industrial structures, roads, bridges, wastewater treatment plants, schools and hospitals. CEPMs may supervise a whole civil engineering project or just part of a project and although CEPMs usually play no direct role in the actual construction of a structure, they typically schedule and coordinate all design and construction processes, including the selection, hiring and oversight of specialty trade contractors. CEPMs therefore, supervise the construction process from the conceptual development stage through to final construction whilst simultaneously meeting time, quality, economic, environmental and health and safety performance criteria as defined by the client. CEPMs evaluate and help determine appropriate construction delivery systems and the most cost-effective plan and schedule for completing the project. They divide all required construction site activities into logical steps, budgeting the time required to meet established deadline. Based upon the massive duties and responsibilities that CEPMs characteristically undertake before and throughout the whole construction cycle, this research has taken place. The predominant aim of this research is to develop a new mathematical model that can be used for classifying the aptitude (capability) of the Civil Engineering Project Manager (CEPM).
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Cho, SeongMin. "Comparative Analysis of Mature Travelers on the Basis of Internet Use." Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/31556.

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Travel and tourism marketers face a highly competitive environment brought on by the changing demographics of the U.S. population, the most significant change being the growth in size of the mature segment of the population. In terms of market size, there are currently 73 million people age 50 and older, comprising nearly one-fourth of the U.S. population (U.S. Census Bureau 2000). That number is expected to rise to 96 million by 2010, representing one-third of the population (Rasmusson 2000). A swelling population is not the only enticement that this age group offers. It is important to note that many mature consumers have deep pockets and a strong desire to spend. In fact, they control more than three-quarters of the wealth and one-half of the discretionary income in the nation. It is also estimated that they lay claim to three-fourths of the country's financial assets and boast more than $1 trillion in annual buying power. When all is said and done, this age group accounts for 40 percent of the total consumer demand in the United States (Swartz, 1999). However, even though recognizing the significance of the mature market in terms of their market size and economic potential, little research has been conducted to identify and understand the mature travelers who use the Internet.The main purpose of this study is to profile mature travelers on the basis of Internet use. More specifically, the intention is to examine the demographic and socio-economic characteristics of mature travelers who use the Internet compared to those who do not use the Internet. In addition, the purpose of the present study is to examine whether or not differences exist between Internet users and Internet non-users among mature travelers with respect to travel behavior. Attention is paid to investigate types of trip selected, the preferred activities participated in during the travel, length of stay, travel-related expenditures, type of lodging, type of transportation, number in the travel party, and type of travel party in explaining the differences between Internet users and Internet non-users of the mature market.Data were collected by utilizing a mailed questionnaire. 433 responses (23.44 percent of the total target population) were coded and used for data analysis. Data were analyzed by employing three types of data analysis: chi-square tests of independence; t-tests; and multiple discriminant analysis.The findings in the present study suggest that there are numerous differences in demographics, socio-economic characteristics, and travel characteristics between Internet users and Internet non-users among mature travelers. As a whole, for example, the results revealed that mature travelers who use the Internet were more likely to be younger, have higher annual household incomes, and have higher levels of education than mature travelers who do not use the Internet. Also, the results indicated that mature travelers who are still working are more likely to use the Internet than those who are not working. By understanding and utilizing information gathered from Internet users' and Internet non-users' demographics, socio-economic characteristics, and travel characteristics, tourism planners and marketers can develop appropriate and effective marketing strategies that appeal to mature travelers.
Master of Science
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Furuhashi, Takeshi, Tomohiro Yoshikawa, and Masafumi Yamamoto. "A Study on Effects of Migration in MOGA with Island Model by Visualization." 日本知能情報ファジィ学会, 2008. http://hdl.handle.net/2237/20680.

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Session ID: SA-G4-2
Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems, September 17-21, 2008, Nagoya University, Nagoya, Japan
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Metawe, Saad Abdel-Hamid. "The Prediction of Industrial Bond Rating Changes: a Multiple Discriminant Model Versus a Statistical Decomposition Model." Thesis, North Texas State University, 1985. https://digital.library.unt.edu/ark:/67531/metadc332370/.

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The purpose of this study is to investigate the usefulness of statistical decomposition measures in the prediction of industrial bond rating changes. Further, the predictive ability of decomposition measures is compared with multiple discriminant analysis on the same sample. The problem of this study is twofold. It stems in general from the statistical problems associated with current techniques employed in the study of bond ratings and in particular from the lack of attention to the study of bond rating changes. Two main hypotheses are tested in this study. The first is that bond rating changes can be predicted through the use of financial statement data. The second is that decomposition analysis can achieve the same performance as multiple discriminant analysis in duplicating and predicting industrial bond rating changes. To explain and predict industrial bond rating changes, statistical decomposition measures were computed for each company in the sample. Based on these decomposition measures, the two types of analyses performed were (a) a univariate analysis where each decomposition measure was compared with an industry average decomposition measure, and (b) a multivariate analysis where decomposition measures were used as independent variables in a probability linear model. In addition to statistical decomposition analysis, multiple discriminant analysis was used in duplicating and predicting bond rating changes. Finally, a comparison was made between the predictive abilities of decomposition analysis and discriminant analysis.
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Mauk, Rachel Grant. "Prediction of Intensity Change Subsequent to Concentric Eyewall Events." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1469037273.

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Zhang, Jian. "Bayesian multiple hypotheses testing with quadratic criterion." Thesis, Troyes, 2014. http://www.theses.fr/2014TROY0016/document.

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Le problème de détection et localisation d’anomalie peut être traité comme le problème du test entre des hypothèses multiples (THM) dans le cadre bayésien. Le test bayésien avec la fonction de perte 0−1 est une solution standard pour ce problème, mais les hypothèses alternatives pourraient avoir une importance tout à fait différente en pratique. La fonction de perte 0−1 ne reflète pas cette réalité tandis que la fonction de perte quadratique est plus appropriée. L’objectif de cette thèse est la conception d’un test bayésien avec la fonction de perte quadratique ainsi que son étude asymptotique. La construction de ce test est effectuée en deux étapes. Dans la première étape, un test bayésien avec la fonction de perte quadratique pour le problème du THM sans l’hypothèse de base est conçu et les bornes inférieures et supérieures des probabilités de classification erronée sont calculées. La deuxième étape construit un test bayésien pour le problème du THM avec l’hypothèse de base. Les bornes inférieures et supérieures des probabilités de fausse alarme, des probabilités de détection manquée, et des probabilités de classification erronée sont calculées. A partir de ces bornes, l’équivalence asymptotique entre le test proposé et le test standard avec la fonction de perte 0−1 est étudiée. Beaucoup d’expériences de simulation et une expérimentation acoustique ont illustré l’efficacité du nouveau test statistique
The anomaly detection and localization problem can be treated as a multiple hypotheses testing (MHT) problem in the Bayesian framework. The Bayesian test with the 0−1 loss function is a standard solution for this problem, but the alternative hypotheses have quite different importance in practice. The 0−1 loss function does not reflect this fact while the quadratic loss function is more appropriate. The objective of the thesis is the design of a Bayesian test with the quadratic loss function and its asymptotic study. The construction of the test is made in two steps. In the first step, a Bayesian test with the quadratic loss function for the MHT problem without the null hypothesis is designed and the lower and upper bounds of the misclassification probabilities are calculated. The second step constructs a Bayesian test for the MHT problem with the null hypothesis. The lower and upper bounds of the false alarm probabilities, the missed detection probabilities as well as the misclassification probabilities are calculated. From these bounds, the asymptotic equivalence between the proposed test and the standard one with the 0-1 loss function is studied. A lot of simulation and an acoustic experiment have illustrated the effectiveness of the new statistical test
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Norrbelius, Therese, and Carina Linder. "Konkursprognostisering : En empirisk studie av småföretag i Sverige." Thesis, Mid Sweden University, Department of Social Sciences, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-9198.

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Corporate failures pose a problem for banks, investors, customers, employees andinsurers. With a multivariate discrimination method, the study aims to find the specificfinancial ratios that most accurate reveals a company's financial health, which is ofinterest to all of the above parties. The data consist of 1042 Swedish small enterprisesand 30 different financial ratios between the years 2005‐2007. The result shows thatbankrupt firms three years before bankruptcy have a disadvantaged capital structurewith poor solvency and high debt. The year before bankruptcy, profitability and liquiditydeclined for bankruptcy group, and rates vary considerably in comparison with thesurviving companies. Our model can correctly classify 91,2 % of the total sample one yearbefore bankruptcy.


Företagskonkurser är dyrt för samhället och utgör ett problem för bland annat banker,investerare, kunder, anställda, försäkringsbolag och leverantörer. Studien syftar till attfinna de specifika nyckeltal vilka avslöjar ett företags finansiella hälsa, vilket är av intresseför alla ovanstående parter. Med en kvantitativ multivariat analysmetod har 30 olikanyckeltal från sammanlagt 1042 svenska mindre aktiebolag mellan åren 2005 och 2007studerats.Resultatet visar att konkursföretagen tre år innan konkurs har en missgynnandekapitalstruktur med svag soliditet och hög skuldsättning. Året innan konkurs harlönsamheten och likviditeten minskat för konkursgruppen och talen uppvisar storaskillnader i jämförelse med de överlevande företagen. Modellen klassificerar 91,2 % avföretagen korrekt ett år innan konkurs.

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Kartheek, arun sai ram chilla, and Chelluboina Kavya. "Investigating Metrics that are Good Predictors of Human Oracle Costs An Experiment." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14080.

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Context. Human oracle cost, the cost associated in estimating the correctness of the output for the given test inputs is manually evaluated by humans and this cost is significant and is a concern in the software test data generation field. This study has been designed in the context to assess metrics that might predict human oracle cost. Objectives. The major objective of this study is to address the human oracle cost, for this the study identifies the metrics that are good predictors of human oracle cost and can further help to solve the oracle problem. In this process, the identified suitable metrics from the literature are applied on the test input, to see if they can help in predicting the correctness of the output for the given test input. Methods. Initially a literature review was conducted to find some of the metrics that are relevant to the test data. Besides finding the aforementioned metrics, our literature review also tries to find out some possible code metrics that can be ap- plied on test data. Before conducting the actual experiment two pilot experiments were conducted. To accomplish our research objectives an experiment is conducted in the BTH university with master students as sample population. Further group interviews were conducted to check if the participants perceive any new metrics that might impact the correctness of the output. The data obtained from the experiment and the interviews is analyzed using linear regression model in SPSS suite. Further to analyze the accuracy vs metric data, linear discriminant model using SPSS pro- gram suite was used. Results.Our literature review resulted in 4 metrics that are suitable to our study. As our test input is HTML we took HTML depth, size, compression size, number of tags as our metrics. Also, from the group interviews another 4 metrics are drawn namely number of lines of code and number of <div>, anchor <a> and paragraph <p> tags as each individual metric. The linear regression model which analyses time vs metric data, shows significant results, but with multicollinearity effecting the result, there was no variance among the considered metrics. So, the results of our study are proposed by adjusting the multicollinearity. Besides, the above analysis, linear discriminant model which analyses accuracy vs metric data was conducted to predict the metrics that influences accuracy. The results of our study show that metrics positively correlate with time and accuracy. Conclusions. From the time vs metric data, when multicollinearity is adjusted by applying step-wise regression reduction technique, the program size, compression size and <div> tag are influencing the time taken by sample population. From accuracy vs metrics data number of <div> tags and number of lines of code are influencing the accuracy of the sample population.
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Гриценко, О. О. "Математичні моделі управління фінансовими ресурсами." Thesis, Сумський державний університет, 2018. http://essuir.sumdu.edu.ua/handle/123456789/67011.

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Модель, як об’єкт, що штучно сконструйований дослідником, довільної природи (уявний чи матеріально реалізований), замінює або відтворює досліджуваний об’єкт-оригінал так, що розгляд його природної сутності здатний надавати нові дані об’єкта-оригіналу.
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Machado, João Filipe de Souta Neiva. "Caracterização dos hábitos de E-commerce." Master's thesis, Universidade de Évora, 2015. http://hdl.handle.net/10174/16679.

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O fenómeno do e-commerce tem vindo a crescer em Portugal e jáa faz parte do dia-a-dia dos portugueses, complementarmente e/ou em alternativa ao comercio tradicional. Por isso, cada vez mais as empresas procuram compreender as tendências que moldam o comportamento do consumidor online e podem influenciar as suas praticas de consumo. Nesse sentido, este estudo tem como objetivo geral caracterizar os hábitos de e-commerce dos portugueses com 18 ou mais anos. Para o efeito foi elaborado um questionário e recolhida uma amostra pelo processo de amostragem em bola de neve. No processo de analise de dados, foram utilizadas as técnicas Analise de Correspondências Multiplas, função de Fisher resultante da Analise Discriminante e Regressão Logística, também com o objectivo de compreender a coerência entre os resultados e a complementariedade entre elas. Participaram no estudo 400 indivíduos, sendo a maioria mulheres (58%), residentes em diversos distritos de Portugal, com idades compreendidas entre os 18 e os 71 anos, tendo a maior parte um grau de instrução universitária. Os resultados permitiram concluir quais os produtos e serviços com maior compra/adesão online para cada um dos sexos, assim como inferir sobre as principais vantagens e desvantagens associadas a compra online, para ambos os sexos e para compradores e nao compradores. No que diz respeito a perceção de segurança nas compras online, este estudo revelou que metade dos participantes consideram este modo de compra seguro, sendo os fatores mais importantes para a percepcão de segurança a credibilidade da empresa/marca do produto e a variedade de meios de pagamento disponíveis; Abstract: CHARACTERIZATION OF E-COMMERCE BEHAVIOR The phenomenon of e-commerce has been growing in Portugal and is already part of the day to day life of the Portuguese, complementary and/or alternatively to traditional trade. Therefore, more and more companies seek to understand the trends shaping the online consumer behavior that can influence their consumption practices. In this sense, this study has the general objective to characterize the e-commerce habits of the Portuguese with 18 or more years. For this purpose, a questionnaire was prepared and a sample was collected with a snowball sampling process. In the process of data analysis, we used the following techniques: Multiple Correspondence Analysis, Fisher function resulting from the Discriminant Analysis and Logistic Regression. This study also has the aim of understanding the consistency between the results and the complementarity among these techniques. In this study, participated 400 individuals, the majority being women (58%), resident in several districts of Portugal, aged between 18 and 71 years, with most having a degree of university education. The results allowed to know the goods and services with higher purchase/online adherence by gender, as well as to inference about the main advantages and disadvantages associated with online shopping, for both sexes and for both buyers and no buyers. With regard to the security perception in online shopping, this study revealed that half of the participants consider online buying safe, and that the most important factors for the security perception are the credibility of the company / brand of the product and the variety of media available payment.
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Books on the topic "Multiple Discriminant Analysis (MDA)"

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O'Donovan, Gavin M. Predicting corporate failure: A multiple discriminant analysis approach. Dublin: University College Dublin, 1993.

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Chappat-Carton, Gerald. Corporate bankruptcy prediction: Comparison using multiple discriminant analysis and neural networks. Dublin: University College Dublin,Graduate School of Business, 1998.

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Gilmer, Catherine. An examination of UK equities via ratio analysis in a multiple discriminant analysis framework. Dublin: University College Dublin, 1997.

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Devine, Michael John. The 'heart' of the American electronic and pharmaceutical industries revisited via multiple discriminant analysis. Dublin: University College Dublin, 1996.

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Veech, Joseph A. Habitat Ecology and Analysis. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198829287.001.0001.

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Habitat is crucial to the survival and reproduction of individual organisms as well as persistence of populations. As such, species-habitat relationships have long been studied, particularly in the field of wildlife ecology and to a lesser extent in the more encompassing discipline of ecology. The habitat requirements of a species largely determine its spatial distribution and abundance in nature. One way to recognize and appreciate the over-riding importance of habitat is to consider that a young organism must find and settle into the appropriate type of habitat as one of the first challenges of life. This process can be cast in a probabilistic framework and used to better understand the mechanisms behind habitat preferences and selection. There are at least six distinctly different statistical approaches to conducting a habitat analysis – that is, identifying and quantifying the environmental variables that a species most strongly associates with. These are (1) comparison among group means (e.g., ANOVA), (2) multiple linear regression, (3) multiple logistic regression, (4) classification and regression trees, (5) multivariate techniques (Principal Components Analysis and Discriminant Function Analysis), and (6) occupancy modelling. Each of these is lucidly explained and demonstrated by application to a hypothetical dataset. The strengths and weaknesses of each method are discussed. Given the ongoing biodiversity crisis largely caused by habitat destruction, there is a crucial and general need to better characterize and understand the habitat requirements of many different species, particularly those that are threatened and endangered.
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Book chapters on the topic "Multiple Discriminant Analysis (MDA)"

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Brown, Charles E. "Multiple Discriminant Analysis." In Applied Multivariate Statistics in Geohydrology and Related Sciences, 115–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-80328-4_10.

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Jolicoeur, Pierre. "Multiple discriminant analysis." In Introduction to Biometry, 309–33. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4777-8_34.

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Skurichina, Marina, and Robert P. W. Duin. "Boosting in Linear Discriminant Analysis." In Multiple Classifier Systems, 190–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45014-9_18.

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Tian, Qi, Jie Yu, and Thomas S. Huang. "Boosting Multiple Classifiers Constructed by Hybrid Discriminant Analysis." In Multiple Classifier Systems, 42–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11494683_5.

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Yang, Yi, and Jiasong Sun. "Local Learning Multiple Probabilistic Linear Discriminant Analysis." In Communications in Computer and Information Science, 604–10. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21380-4_103.

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Tahir, Muhammad Atif, Ahmed Bouridane, and Josef Kittler. "Dimensionality Reduction Using Stacked Kernel Discriminant Analysis for Multi-label Classification." In Multiple Classifier Systems, 283–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38067-9_25.

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Mola, Francesco, and Roberta Siciliano. "Discriminant Analysis and Factorial Multiple Splits in Recursive Partitioning for Data Mining." In Multiple Classifier Systems, 118–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45428-4_12.

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Jingbo, Zhu, Ye Na, Chang Xinzhi, Chen Wenliang, and Benjamin K. Tsou. "Using Multiple Discriminant Analysis Approach for Linear Text Segmentation." In Lecture Notes in Computer Science, 292–301. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11562214_26.

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Cleophas, Ton J., and Aeilko H. Zwinderman. "Discriminant Analysis for Making a Diagnosis from Multiple Outcomes (45 Patients)." In Machine Learning in Medicine - a Complete Overview, 149–53. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15195-3_24.

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Cleophas, Ton J., and Aeilko H. Zwinderman. "Discriminant Analysis for Making a Diagnosis from Multiple Outcomes (45 Patients)." In Machine Learning in Medicine - Cookbook, 57–61. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04181-0_9.

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Conference papers on the topic "Multiple Discriminant Analysis (MDA)"

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Tosida, Eneng Tita, Indra Permana Solihin, Roni Jayawinangun, and Deden Ardiansyah. "Implementation of Multiple Discriminant Analysis (MDA) for Clustering Smart Village in West Java Based Podes (Potensi Desa) Database." In 2022 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS). IEEE, 2022. http://dx.doi.org/10.1109/icimcis56303.2022.10017815.

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Yin, Xuesong, Xiaodong Chen, Xiaofang Ruan, and Yarong Huang. "Multiple view semi-supervised discriminant analysis." In 2011 First Asian Conference on Pattern Recognition (ACPR 2011). IEEE, 2011. http://dx.doi.org/10.1109/acpr.2011.6166562.

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Nakanishi, Satoru, Tokuhiro Sugiura, Yoshihiko Nomura, and Norihiko Kato. "Parametric eigenspace method using multiple discriminant analysis." In Photonics Technologies for Robotics, Automation, and Manufacturing, edited by David P. Casasent, Ernest L. Hall, and Juha Roning. SPIE, 2003. http://dx.doi.org/10.1117/12.513721.

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Zhou, S. K., and R. Chellappa. "Multiple-exemplar discriminant analysis for face recognition." In Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. IEEE, 2004. http://dx.doi.org/10.1109/icpr.2004.1333736.

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Malinen, J., V. Onnia, and M. Tico. "Fingerprint classification based on multiple discriminant analysis." In 9th International Conference on Neural Information Processing. IEEE, 2002. http://dx.doi.org/10.1109/iconip.2002.1201938.

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Yan, Fei, Josef Kittler, Krystian Mikolajczyk, and Atif Tahir. "Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis." In 2009 Ninth IEEE International Conference on Data Mining (ICDM). IEEE, 2009. http://dx.doi.org/10.1109/icdm.2009.84.

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Zeng, Shan, Jun Bai, Liang Jiang, and Zhen Kang. "Multiple kernel fuzzy discriminant analysis for hyperspectral imaging classification." In 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2017. http://dx.doi.org/10.1109/fuzz-ieee.2017.8015719.

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Kusnandar, Dadan, Naomi Nessyana Debataraja, Setyo Wira Rizki, and Ernita Saputri. "Water quality mapping in Pontianak City using multiple discriminant analysis." In THE 4TH INDOMS INTERNATIONAL CONFERENCE ON MATHEMATICS AND ITS APPLICATION (IICMA 2019). AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0016809.

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Wu, Congling, Shengwen Guo, Chunren Lai, Yupeng Wu, Di Zhao, and Xingjun Jiang. "Discriminant analysis of multiple cortical changes in mild cognitive impairment." In Eighth International Conference on Graphic and Image Processing, edited by Yulin Wang, Tuan D. Pham, Vit Vozenilek, David Zhang, and Yi Xie. SPIE, 2017. http://dx.doi.org/10.1117/12.2266229.

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Yu, Jie, and Qi Tian. "Boosting multiple classifiers by hybrid discriminant analysis for face identification." In Optics East 2005, edited by Anthony Vetro, Chang Wen Chen, C. C. J. Kuo, Tong Zhang, Qi Tian, and John R. Smith. SPIE, 2005. http://dx.doi.org/10.1117/12.631238.

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