Biostatistics : Intermediate Bayesian Inference.cGeorge G. Woodworth
This book focuses on Bayesian multivariate inference, which is defined as any inference that involves a multivariate (marginal) posterior distribution and is distinct from frequentist multivariate inference in that that is defined as any analysis with a multivariate response variable. This text features multivariate models, including the mutivariate normal and t distributions, Dirichlet-multinomial and gamma-poisson models, and generalized mixed linear models. Experimental design techniques are also covered and include blocking and repeated measures; experimental planning principles (Bayesian stopping and decision rules in experiments to prove); and risk assessments such as a-priori Type I and Type II error risks in such experiments. Decision analysis is presented in this context as a coherent way to compute stopping boundaries and terminal decisions. Planning principles for experiments include information maximization. Each chapter includes problem sets and computer exercises.
Read online Biostatistics : Intermediate Bayesian Inference Buy and read online Biostatistics : Intermediate Bayesian Inference Download Biostatistics : Intermediate Bayesian Inference for pc, mac, kindle, readers Download to iPad/iPhone/iOS, B&N nook Biostatistics : Intermediate Bayesian Inference ebook, pdf, djvu, epub, mobi, fb2, zip, rar, torrent
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Author: George G. Woodworth
Number of Pages: 416 pages
Published Date: 03 Aug 2017
Publisher: John Wiley and Sons Ltd
Publication Country: Hoboken, United States
Language: English
Format: eBook
ISBN: 9780470179420
File Name: Biostatistics.Intermediate.Bayesian.Inference.pdf
Download Link: Biostatistics Intermediate Bayesian Inference
---------------------------------------------------------------
Author: George G. Woodworth
Number of Pages: 416 pages
Published Date: 03 Aug 2017
Publisher: John Wiley and Sons Ltd
Publication Country: Hoboken, United States
Language: English
Format: eBook
ISBN: 9780470179420
File Name: Biostatistics.Intermediate.Bayesian.Inference.pdf
Download Link: Biostatistics Intermediate Bayesian Inference
---------------------------------------------------------------
This book focuses on Bayesian multivariate inference, which is defined as any inference that involves a multivariate (marginal) posterior distribution and is distinct from frequentist multivariate inference in that that is defined as any analysis with a multivariate response variable. This text features multivariate models, including the mutivariate normal and t distributions, Dirichlet-multinomial and gamma-poisson models, and generalized mixed linear models. Experimental design techniques are also covered and include blocking and repeated measures; experimental planning principles (Bayesian stopping and decision rules in experiments to prove); and risk assessments such as a-priori Type I and Type II error risks in such experiments. Decision analysis is presented in this context as a coherent way to compute stopping boundaries and terminal decisions. Planning principles for experiments include information maximization. Each chapter includes problem sets and computer exercises.
Read online Biostatistics : Intermediate Bayesian Inference Buy and read online Biostatistics : Intermediate Bayesian Inference Download Biostatistics : Intermediate Bayesian Inference for pc, mac, kindle, readers Download to iPad/iPhone/iOS, B&N nook Biostatistics : Intermediate Bayesian Inference ebook, pdf, djvu, epub, mobi, fb2, zip, rar, torrent
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