<span class="lx-link-style3" style="border-bottom-color: rgb(255, 155, 51); color: rgb(255, 155, 51);"><span style="text-decoration: underline;"></span></span>Statistical Decision Theory and Bayesian Analysis (Springer Series in Statistics)<br/>By James O. Berger<br/><br/>Publisher:   Springer <br/>Number Of Pages:   617 <br/>Publication Date:   1993-03-25 <br/>ISBN-10 / ASIN:   0387960988 <br/>ISBN-13 / EAN:   9780387960982 <br/>Binding:   Hardcover
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<p>“The outstanding strengths of the book are its topic
coverage, references, exposition, examples and problem sets… This book
is an excellent addition to any mathematical statistician’s library.”
-Bulletin of the American Mathematical Society In this new edition the
author has added substantial material on Bayesian analysis, including
lengthy new sections on such important topics as empirical and
hierarchical Bayes analysis, Bayesian calculation, Bayesian
communication, and group decision making. With these changes, the book
can be used as a self-contained introduction to Bayesian analysis. In
addition, much of the decision-theoretic portion of the text was
updated, including new sections covering such modern topics as minimax
multivariate (Stein) estimation.</p><br/>http://rapidshare.com/files/104582698/Berger_-_Statistical.Decision.Theory.and.Bayesian.Analysis_2C.2ed._2C.Springer_2C.1985.djvu<br/>