Applied Statistical Decision TheoryDivision of Research, Graduate School of Business Adminitration, Harvard University, 1961 - Business & Economics - 356 pages "In the field of statistical decision theory, Raiffa and Schlaifer have sought to develop new analytic techniques by which the modern theory of utility and subjective probability can actually be applied to the economic analysis of typical sampling problems." --From the foreword to their classic work "Applied Statistical Decision Theory," First published in the 1960s through Harvard University and MIT Press, the book is now offered in a new paperback edition from Wiley |
Contents
The Problem and the Two Basic Modes of Analysis | 3 |
Sufficient Statistics and Noninformative Stopping | 28 |
Conjugate Prior Distributions | 43 |
Copyright | |
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Common terms and phrases
actually analysis apply approximation assign assume assumption Bernoulli beta called chapter choice choose complete compute conditional conjugate consider constant corresponding cost cumulative decision maker defined definition denote density density function depends derived determined discussed equal equivalent estimate evaluated example exists expected expected value experiment experimental expression fact factor Figure fixed follows formula function gain give given immediately implies increases independent integral joint known likelihood linear marginal mass mean measure Normal observations obtain optimal outcome parameter particular perfect information possible posterior distribution prior distribution probability problem proof prove quantity random variable reasonable relation respect shown situations space standardized stopping Substituting successes sufficient statistic Table taken terminal terminal opportunity loss terminal utility theorem tion true unknown utility variance vector write