This volume provides full coverage of Bayesian statistics--perhaps the only fully self-consistent approach in statistics. The book furnishes an understandable treatment of the basic concepts and gives the reader useful information on where and why this somewhat controversial approach differs from "classical" statistics. The appendices include useful tables that are not readily available in other references. The book is based on a a highly successful lecture series for advanced undergraduates and fills a need for a text that is never too elemental nor too technical.

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This new edition of Lee's popular book introduces the Bayesian philosophy of statistics. It has been completely updated and features new chapters on Gibbs sampling and hierarchical methods and more exercises.

"About this title" may belong to another edition of this title.

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Bayesian Statistics: An Introduction

Lee, Peter M

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