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CRC Press

Bayesian Statistical Methods

Bayesian Statistical Methods

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Designed to provide a good balance of theory and computational methods that will appeal to students and practitioners with minimal mathematical and statistical background and no experience in Bayesian statistics to students and practitioners looking for advanced methodologies.



Author: Brian J. Reich, Sujit K. Ghosh
Publisher: CRC Press
Published: 04/16/2019
Pages: 288
Binding Type: Hardcover
Weight: 1.25lbs
Size: 9.40h x 6.40w x 0.80d
ISBN: 9780815378648

About the Author

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


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