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Bayesian Statistical Methods, Paperback by Ghosh, Sujit K., Like New Used, Fr...

Description: Bayesian Statistical Methods, Paperback by Ghosh, Sujit K., ISBN 1032093188, ISBN-13 9781032093185, Like New Used, Free shipping in the US

Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. This book focuses on Bayesian methods applied routinely in practice including multiple linear regression, mixed effects models and generalized linear models (GLM). The authors include many examples with complete R code and comparisons with analogous frequentist procedures.



In addition to the basic concepts of Bayesian inferential methods, th covers many general topics:





Case studies covering advanced topics illustrate the flexibility of the Bayesian approach:





The advanced topics are presented with sufficient conceptual depth that the reader will be able to carry out such analysis and argue the relative merits of Bayesian and classical methods. A repository of R code, motivating data sets, and complete data analyses are available on th’s website.



Brian J. Reich

, Associate Professor of Statistics at North Carolina State University, is currently the editor-in-chief of the Journal of Agricultural, Biological, and Environmental Statistics

and was awarded the LeRoy & Elva Martin Teaching Award.



Sujit K. Ghosh

, Professor of Statistics at North Carolina State University, has over 22 years of research and teaching experience in conducting Bayesian analyses, received the Cavell Brownie mentoring award, and served as the Deputy Director at the Statistical and Applied Mathematical Sciences Institute.







Price: 63.83 USD

Location: Jessup, Maryland

End Time: 2025-01-05T11:24:00.000Z

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Book Title: Bayesian Statistical Methods

Author: Ghosh, Sujit K.

Language: english

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