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Bayesian statistical methods /

"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 mod...

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Bibliographic Details
Main Authors: Reich, Brian J. Brian James
Group Author: Ghosh, Sujit K., 1970
Published: CRC Press, Taylor & Francis Group,
Publisher Address: Boca Raton, FL :
Publication Dates: [2019]
Literature type: Book
Language: English
Series: Texts in statistical science series
Subjects:
Bayesian statistical decision theory > Problems, exercises, etc
Mathematical analysis > Problems, exercises, etc
Summary: "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."
Carrier Form: xii, 275 pages : illustrations, maps, forms ; 24 cm.
Bibliography: Includes bibliographical references (pages 265-271) and index.
ISBN: 9780815378648 (hardcover : alkaline paper) :
0815378645 (hardcover : alkaline paper)
9780429514340 (ebook)
0429514344 (ebook)
Index Number: QA279
CLC: O212.8-44
Call Number: O212.8-44/R347

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