Descript 
xxvii, 475 p. : ill. ; 27 cm. 
Bibliog. 
Includes bibliographical references and index. 
Contents 
Probability  Conditional probability and Bayes theorem  Discrete random variables  Continuous random variables  Transformations  Normal distribution  Making decisions  Conjugate analysis  Hierarchical structuring of a model  Markov chain Monte Carlo  Multiparty problems  Exploration of old ideas  Epilogue: applications. 
Summary 
Written in an appealing, inviting style, and packed with interesting examples, this book introduces the most compelling parts of mathematics, computing, and philosophy as they bear on statistics. Although many books present the computation of a variety of statistics and algorithms while barely skimming the philosophical ramifications of subjective probability, this book takes a different tack. By addressing how to think about uncertainity, this book gives the reader the intuition and understanding required to choose a particular method for a particular purpose.  from Back Cover 
ISBN 
9781439861615 (hardcover : alk. paper) 

1439861617 (hardcover : alk. paper) 
ISBN/ISSN 
3648410 
Series 
Chapman & Hall/CRC texts in statistical science series 

Texts in statistical science.

Subject 
Bayesian statistical decision theory.


Mathematical statistics.

