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Bayesian methods for data analysis

By: Carlin, Bradley P.
Contributor(s): Louis, Thomas A.
Series: Chapman and Hall/CRC texts in statistical science series. Publisher: Boca Raton Chapman and Hall/CRC Press 2009Description: xv, 535 p.ISBN: 9781584886976.Subject(s): Bayesian statistical decision theoryDDC classification: 519.542 Summary: The third edition of Bayesian Methods for Data Analysis has been updated to provide a more accessible introduction to the foundations of Bayesian analysis along with a stronger focus on applications, including case studies in biostatistics, epidemiology, and genetics. This edition features a new chapter on Bayesian design that presents Bayesian clinical trials and special topics such as missing data and causality. With an emphasis on computation, there is also expanded coverage of WinBUGS, R, and BRugs. The book also contains additional exercises and solutions for courses on Bayesian data analysis and to assist in self-study for undergraduate students, graduate students, and researchers in statistics and biostatistics. Source: http://search.barnesandnoble.com
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Books Vikram Sarabhai Library
Slot 1675 (2 Floor, East Wing) 519.542 C2B2 (Browse shelf) Available 167122

Includes bibliographical references (p. [487]-520) and indexes

The third edition of Bayesian Methods for Data Analysis has been updated to provide a more accessible introduction to the foundations of Bayesian analysis along with a stronger focus on applications, including case studies in biostatistics, epidemiology, and genetics. This edition features a new chapter on Bayesian design that presents Bayesian clinical trials and special topics such as missing data and causality. With an emphasis on computation, there is also expanded coverage of WinBUGS, R, and BRugs. The book also contains additional exercises and solutions for courses on Bayesian data analysis and to assist in self-study for undergraduate students, graduate students, and researchers in statistics and biostatistics. Source: http://search.barnesandnoble.com

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