Дисертації з теми "Coefficient of confidence"
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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.
Повний текст джерелаTitle from PDF (viewed on 2009-12-22) Department of Statistics Includes abstract Includes bibliographical references and appendices Available online via the OhioLINK ETD Center
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/.
Повний текст джерелаUkoumunne, 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.
Повний текст джерелаLiu, Huayu. "Modified Profile Likelihood Approach for Certain Intraclass Correlation Coefficient." Digital Archive @ GSU, 2011. http://digitalarchive.gsu.edu/math_theses/96.
Повний текст джерелаOllikainen, Kati. "PARAMETER ESTIMATION IN LINEAR REGRESSION." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4138.
Повний текст джерелаPh.D.
Department of Industrial Engineering and Management Systems
Engineering and Computer Science
Industrial Engineering and Management Systems
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/.
Повний текст джерелаLewis VanBrackle, Committee Member ; Brani Vidakovic, Committee Member ; Anthony J. Hayter, Committee Chair ; Nicholeta Serban, Committee Member ; Alexander Shapiro, Committee Member.
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.
Повний текст джерелаSabel, 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.
Повний текст джерелаJin, 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.
Повний текст джерелаКолпакова, 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.
Повний текст джерелаThe 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.
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.
Повний текст джерелаThe 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.
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.
Повний текст джерелаBarchard, Kimberly Anne. "An examination of two methods of forming confidence intervals for coefficient alpha." Thesis, 1995. http://hdl.handle.net/2429/4041.
Повний текст джерелаSabel, 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.
Повний текст джерелаChen, 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.
Повний текст джерела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.