From the Amazon.com reviews :

"The central theme of this book is ‘what optimal decisions are in general and in specific decision problems, and how to derive them’; optimality is understood in terms of the expected loss, i.e. the risk functional, or some function of it.… This monograph is, undoubtedly, a significant event in the development of statistical decision theory." (Yurij S. Kharin, American Mathematical Society, Mathematical Reviews on the Web, MR2421720)

"This book is unique in offering a fuller point of view of selection rules,.… An other feature is that is combines innovation and tradition. This monograph uniquely synthesizes otherwise disparate materials, while establishing connections between classical and modern decision theory. Actually it creates a bridge between the classical results of mathematical statistics and the modern asymptotic decision theory.… also provides a broad coverage of both the frequentist and the Bayes approaches in decision theory." (2009 European Mathematical Society, FIZ Karlsruhe & Springer-Velag, ZBl 1154.62008)

"The central theme of this book is the nature of optimal decisions, in both general and specific problems, and how to reach them. … This is a deep theoretical and mathematical presentation of decision theory, which I imagine will become a leading reference work for researchers in the area." (David J. Hand, International Statistical Review, Vol. 76 (3), 2008)

"This monograph is written not only as a basis for graduate courses, but also as a reference tool. Readers should be familiar with basic concepts of probability theory, mathematical statistics, and analysis. … This book also provides a broad coverage of both the frequentist and the Bayes approaches in decision theory. The Bayes approach is considered to be a useful decision-theoretic framework among others, and it is used heavily throughout the book … ." (R. Schlittgen, Zentralblatt MATH, Vol. 1154, 2009)

Very good book indeed, I need it much eagerly. Thanks for sharing!

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楼主，我下载了，可是打不开，请楼主发一份到我的邮箱 397757093@qq.com 谢谢