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Applied Statistical Decision Theory: 78 (Wiley Classics Library) - Softcover

 
9780471383499: Applied Statistical Decision Theory: 78 (Wiley Classics Library)

Synopsis

This volume presents Raiffa and Schlaifer's groundbreaking examination of the applications of Bayesian statistical theory to real-life business problems of decision under conditions of uncertainty. The emphasis is on identifying a course of action that is logically consistent with the decision maker's own preference for consequences, as expressed by numerical utilities, and with the weight s/he attaches to unknown variables, as expressed by numerical probabilities. Well-organized with self-contained chapters, suitable for both complete and selected study of topics. Clear outline format and detailed table of contents allows for easy referencing. Extremely useful for its historical value. From the reviews: . "Raiffa and Schlaifer have contributed a major work and a major stimulus to further work. I hope especially that mathematical statisticians will read it and be encouraged to develop the fascinating lines of research that are suggested by it. I recommend it strongly to all statisticians seriously interested in applying statistics to real problems."--ASA Journal. "There is no comparable book. It should have an important effect on the future development of the subject." --Mathematical Reviews.

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From the Back Cover

The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensiveeditions, Wiley hopes to extend the life of these important works by making themavailable to future generations of mathematicians and scientists.

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About the Author

Howard Raiffa was an American academic who was the Frank P. Ramsey Professor of Managerial Economics, a joint chair held by the Business School and the Kennedy School of Government at Harvard University. Robert Schlaifer is the author of Applied Statistical Decision Theory, published by Wiley.

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  • PublisherWiley-Interscience
  • Publication date2000
  • ISBN 10 047138349X
  • ISBN 13 9780471383499
  • BindingPaperback
  • LanguageEnglish
  • Edition number1
  • Number of pages388

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