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Dissertations / Theses on the topic 'Coefficient of confidence'

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Published: 30 May 2022
Last updated: 31 May 2022

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1

Fridline, Mark M. "Almost Sure Confidence Intervals for the Correlation Coefficient." Cleveland, Ohio : Case Western Reserve University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1258999665.

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Thesis(Ph.D.)--Case Western Reserve University, 2010
Title from PDF (viewed on 2009-12-22) Department of Statistics Includes abstract Includes bibliographical references and appendices Available online via the OhioLINK ETD Center
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2

Turner, Heather Jean. "A Performance Evaluation of Confidence Intervals for Ordinal Coefficient Alpha." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc801899/.

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Ordinal coefficient alpha is a newly derived non-parametric reliability estimate. As with any point estimate, ordinal coefficient alpha is merely an estimate of a population parameter and tends to vary from sample to sample. Researchers report the confidence interval to provide readers with the amount of precision obtained. Several methods with differing computational approaches exist for confidence interval estimation for alpha, including the Fisher, Feldt, Bonner, and Hakstian and Whalen (HW) techniques. Overall, coverage rates for the various methods were unacceptably low with the Fisher method as the highest performer at 62%. Because of the poor performance across all four confidence interval methods, a need exists to develop a method which works well for ordinal coefficient alpha.
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3

Ukoumunne, Obioha Chukwunyere. "Confidence intervals for the intraclass correlation coefficient in cluster randomised trials." Thesis, King's College London (University of London), 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.418293.

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4

Liu, Huayu. "Modified Profile Likelihood Approach for Certain Intraclass Correlation Coefficient." Digital Archive @ GSU, 2011. http://digitalarchive.gsu.edu/math_theses/96.

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In this paper we consider the problem of constructing confidence intervals and lower bounds forthe intraclass correlation coefficient in an interrater reliability study where the raters are randomly selected from a population of raters.The likelihood function of the interrater reliability is derived and simplified, and the profile likelihood based approach is readily available for computing the confidence intervals of the interrater reliability. Unfortunately, the confidence intervals computed by using the profile likelihood function are in general too narrow to have the desired coverage probabilities. From the point view of practice, a conservative approach, if is at least as precise as any existing method, is preferred sinceit gives the correct results with a probability higher than claimed. Under this rationale, we propose the so-called modified likelihood approach in this paper. Simulation study shows that, the proposed method in general has better performance than currently used methods.
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5

Ollikainen, Kati. "PARAMETER ESTIMATION IN LINEAR REGRESSION." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4138.

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Today increasing amounts of data are available for analysis purposes and often times for resource allocation. One method for analysis is linear regression which utilizes the least squares estimation technique to estimate a model's parameters. This research investigated, from a user's perspective, the ability of linear regression to estimate the parameters' confidence intervals at the usual 95% level for medium sized data sets. A controlled environment using simulation with known data characteristics (clean data, bias and or multicollinearity present) was used to show underlying problems exist with confidence intervals not including the true parameter (even though the variable was selected). The Elder/Pregibon rule was used for variable selection. A comparison of the bootstrap Percentile and BCa confidence interval was made as well as an investigation of adjustments to the usual 95% confidence intervals based on the Bonferroni and Scheffe multiple comparison principles. The results show that linear regression has problems in capturing the true parameters in the confidence intervals for the sample sizes considered, the bootstrap intervals perform no better than linear regression, and the Scheffe method is too wide for any application considered. The Bonferroni adjustment is recommended for larger sample sizes and when the t-value for a selected variable is about 3.35 or higher. For smaller sample sizes all methods show problems with type II errors resulting from confidence intervals being too wide.
Ph.D.
Department of Industrial Engineering and Management Systems
Engineering and Computer Science
Industrial Engineering and Management Systems
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6

Kim, Jong Phil. "Efficient confidence interval methodologies for the noncentrality parameters of noncentral T-distributions." Diss., Available online, Georgia Institute of Technology, 2007, 2007. http://etd.gatech.edu/theses/available/etd-04062007-124123/.

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Thesis (Ph. D.)--Industrial and Systems Engineering, Georgia Institute of Technology, 2007.
Lewis VanBrackle, Committee Member ; Brani Vidakovic, Committee Member ; Anthony J. Hayter, Committee Chair ; Nicholeta Serban, Committee Member ; Alexander Shapiro, Committee Member.
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7

Sabel, Till Verfasser], Axel [Akademischer Betreuer] Munk, and Lutz [Akademischer Betreuer] [Dümbgen. "Simultaneous Confidence Statements about the Diffusion Coefficient of an Itô-Process with Application to Spot Volatility Estimation / Till Sabel. Gutachter: Axel Munk ; Lutz Dümbgen. Betreuer: Axel Munk." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2014. http://d-nb.info/1054542279/34.

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8

Sabel, Till Verfasser], Axel [Akademischer Betreuer] [Munk, and Lutz [Akademischer Betreuer] Dümbgen. "Simultaneous Confidence Statements about the Diffusion Coefficient of an Itô-Process with Application to Spot Volatility Estimation / Till Sabel. Gutachter: Axel Munk ; Lutz Dümbgen. Betreuer: Axel Munk." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2014. http://d-nb.info/1054542279/34.

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9

Jin, Shaobo. "Computing Exact Confidence Coefficients of Simultaneous Confidence Intervals for Multinomial Proportions and their Functions." Uppsala universitet, Statistiska institutionen, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-200550.

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10

Колпакова, Тетяна Олексіївна. "Методи, моделі та інформаційна технологія підтримки процесу вибору конкуруючих агентів." Thesis, Запорізький національний технічний університет, 2016. http://repository.kpi.kharkov.ua/handle/KhPI-Press/27267.

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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.13.06 – інформаційні технології. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2017. Мета дисертації – підвищення ефективності процесу експертного оцінювання на основі методів, моделей та інформаційної технології підтримки процесу вибору конкуруючих агентів. Об'єкт дослідження – процес вибору конкуруючих агентів. Предмет дослідження – моделі, методи та інформаційна технологія вибору конкуруючих агентів. Розроблено нові моделі, методи та інформаційну технологію, які забез-печують підтримку впродовж всього процесу вибору конкуруючих агентів з метою підвищення якості рішення, що приймається. Запропоновано модель процесу вибору конкуруючих агентів, в якій склад-ний процес вибору декомпозується на чітко визначені етапи. Удосконалено метод визначення групових оцінок агентів на основі отримання, формалізації та агрегації індивідуальних експертних оцінок за кожним рішенням, що включає етапи абсолютного і відносного оцінювання та враховує коефіцієнти довіри до оцінки кожного учасника. Удосконалено метод оцінювання конкуруючих агентів за набором критеріїв, що дозволяє складати рейтинг агентів. Удосконалено метод оптимізації розподілу обсягу замовлення між конкуруючими агентами, який враховує відносні коефіцієнти важливості критеріїв. Створено інформаційну технологію, що дозволяє автоматизувати процес вибору конкуруючих агентів. Виконано експериментальні дослідження з вирішення практичних задач вибору конкуруючих агентів. Розроблену інформаційну систему впроваджено на підприємствах i в організаціях.
The thesis for a candidate degree in technical sciences on the specialty 05.13.06 – Information Technologies. – National Technical University "Kharkiv Polytechnic Institute", Kharkiv, 2017. The purpose of the thesis – increasing of selection process effectiveness basing on methods, models and information technology of supporting the process of competing agents selecting. The object of research – the process of competing agents selecting. The subject of research – models, methods and information technology of competing agents selecting. New models, methods and information technology which provide support of the entire process of competing agents selecting and allow to improve the quality of decisions are developed. The model of the process of competing agents selecting, which represents decomposition of the process into a set of defined stages is proposed. The method of determining group ratings based on individual expert ratings for each decision which includes obtaining of individual ratings of experts comprising absolute and relative evaluation and takes into account coefficients of confidence in the evaluations provided by each participant is improved. The method of competing agents evaluating by a set of criteria that allows to rank the agents is improved. A method of optimizing the distribution of the order among competing agents which takes into account the relative importance of criteria is improved. An information technology which allows to automate the process competing agents selecting is developed. Experimental research on solving practical problems of competing agents selection was performed. The information system is implemented in enterprises and organizations.
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11

Колпакова, Тетяна Олексіївна. "Методи, моделі та інформаційна технологія підтримки процесу вибору конкуруючих агентів." Thesis, НТУ "ХПІ", 2017. http://repository.kpi.kharkov.ua/handle/KhPI-Press/27266.

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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.13.06 – інформаційні технології. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2017. Мета дисертації – підвищення ефективності процесу експертного оцінювання на основі методів, моделей та інформаційної технології підтримки процесу вибору конкуруючих агентів. Об'єкт дослідження – процес вибору конкуруючих агентів. Предмет дослідження – моделі, методи та інформаційна технологія вибору конкуруючих агентів. Розроблено нові моделі, методи та інформаційну технологію, які забез-печують підтримку впродовж всього процесу вибору конкуруючих агентів з метою підвищення якості рішення, що приймається. Запропоновано модель процесу вибору конкуруючих агентів, в якій склад-ний процес вибору декомпозується на чітко визначені етапи. Удосконалено метод визначення групових оцінок агентів на основі отримання, формалізації та агрегації індивідуальних експертних оцінок за кожним рішенням, що включає етапи абсолютного і відносного оцінювання та враховує коефіцієнти довіри до оцінки кожного учасника. Удосконалено метод оцінювання конкуруючих агентів за набором критеріїв, що дозволяє складати рейтинг агентів. Удосконалено метод оптимізації розподілу обсягу замовлення між конкуруючими агентами, який враховує відносні коефіцієнти важливості критеріїв. Створено інформаційну технологію, що дозволяє автоматизувати процес вибору конкуруючих агентів. Виконано експериментальні дослідження з вирішення практичних задач вибору конкуруючих агентів. Розроблену інформаційну систему впроваджено на підприємствах i в організаціях.
The thesis for a candidate degree in technical sciences on the specialty 05.13.06 – Information Technologies. – National Technical University "Kharkiv Polytechnic Institute", Kharkiv, 2017. The purpose of the thesis – increasing of selection process effectiveness basing on methods, models and information technology of supporting the process of competing agents selecting. The object of research – the process of competing agents selecting. The subject of research – models, methods and information technology of competing agents selecting. New models, methods and information technology which provide support of the entire process of competing agents selecting and allow to improve the quality of decisions are developed. The model of the process of competing agents selecting, which represents decomposition of the process into a set of defined stages is proposed. The method of determining group ratings based on individual expert ratings for each decision which includes obtaining of individual ratings of experts comprising absolute and relative evaluation and takes into account coefficients of confidence in the evaluations provided by each participant is improved. The method of competing agents evaluating by a set of criteria that allows to rank the agents is improved. A method of optimizing the distribution of the order among competing agents which takes into account the relative importance of criteria is improved. An information technology which allows to automate the process competing agents selecting is developed. Experimental research on solving practical problems of competing agents selection was performed. The information system is implemented in enterprises and organizations.
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12

Miao, Tianlei. "Generation of a full-envelope hydrodynamic database for hydrobatic AUVs : Combining numerical, semi-empirical methods to calculate AUV hydrodynamic coefficients." Thesis, KTH, Marina system, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-262038.

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The next generation of Autonomous Underwater Vehicles (AUV) can impact our observation of the world. The flight simulation and full-envelope hydrodynamics modeling can improve the performance of AUVs in terms of control, navigation and positioning. In order to achieve agile maneuverability, a more accurate database of full-envelope hydrodynamic coefficients is supposed to be generated. Two semi-empirical methods, Jorgensen and DATCOM, and two numerical method, Computational Fluid Dynamics (CFD) and XFLR5 are used to push the boundaries of hydrodynamic coefficients: lift, drag and moment coefficients for flight-style AUVs at the Swedish Maritime Robotics Center (SMaRC). A comparison of different approaches and tools, and an analysis of the most appropriate approaches for different regions of a defined maneuver has been conducted in this thesis. A data confidence level was proposed as a way to estimate the accuracy of the data and a structured database was built in terms of data confidence level. Different components of the AUV such as the hull body and wings were analyzed separately. The new database is input to a 3DOF Simulink model and the 6DOF SMaRC hydrobatics simulator for flight dynamics simulations. Simulations show that the new database has a good applicability.
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13

Barchard, Kimberly Anne. "An examination of two methods of forming confidence intervals for coefficient alpha." Thesis, 1995. http://hdl.handle.net/2429/4041.

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Coefficient alpha (Cronbach, 1951) is a commonly used measure of reliability. Feldt (1965) and Hakstian and Whalen (1976) developed methods of forming confidence intervals for coefficient alpha. In this thesis, three issues related to these confidence intervals were examined. First, their performance under fixed and random sampling of conditions (e.g., items, raters) was compared. When conditions were fixed, the confidence intervals were accurate for the kinds of data studied. When conditions were random, as few as 77% of the .95 confidence intervals included the parameter. Second, some researchers have recently questioned what constitute the necessary assumptions of these confidence intervals. In response, it was shown in this thesis that, contrary to what has been claimed, sphericity is not sufficient, although compound symmetry is. Compound symmetry may, in fact, be necessary, but no definitive proof of this can be offered at this time. Third, the performance of the two confidence intervals under random sampling of conditions was explored in more detail. Neither the type of confidence interval used nor heterogeneity of conditions means had any effect on the performance of the confidence intervals. However, heterogeneity of variances reduced the proportion of confidence intervals including the population value. This effect was most pronounced when the population value was high (.90) and when the number of conditions was low (5). The following conclusions were reached. Researchers conducting Monte Carlo studies of coefficient alpha should simulate the type of sampling that they are most interested in, as results depend on the type of sampling used. The Feldt (1965) and Hakstian and Whalen (1976) confidence intervals are precise when conditions are fixed; however, when conditions are random and variances heterogeneous, these intervals should be used with caution, especially if the data contain fewer than 20 conditions. The two types of confidence intervals perform very similarly, and hence the choice of method is left to the researcher. Lastly, a call is made for more robust procedures to be developed, and one possible approach to such a robust procedure has been identified.
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14

Sabel, Till. "Simultaneous Confidence Statements about the Diffusion Coefficient of an Ito-Process with Application to Spot Volatility Estimation." Doctoral thesis, 2014. http://hdl.handle.net/11858/00-1735-0000-0022-5F35-2.

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15

Chen, Wen-chun, and 陳玟君. "Generalized Simultaneous Confidence Region for Regression Coefficients and Their Ratio." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/65932114569714368986.

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碩士
逢甲大學
應用數學所
99
Breeders are usually interested in inferences on the ratio along with the dominance and additive effects. This thesis considers the problem of finding simultaneous confidence region for two regression coefficients and their ratio of general linear models. We use the concept of generalized pivotal quantities to construct the simultaneous confidence region including Plug-in (II), Bonferroni correction and Generalized Variable approach. The proposed methods are compared with the two traditional methods, Worst-case and Plug-in (I), based on the multivariate-t distribution. A simulation study using the dominance ratio in crossing experiments with plants is computed from an estimate of the dominance and additive gene effects. Detailed statistical simulation studies are conducted to evaluate their performance by the coverage rate. Furthermore, some practical examples are given to illustrate the proposed procedures.
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