Applied Statistical Decision TheoryISBN: 978-0-471-38349-9
Paperback
356 pages
June 2000
 This is a Print-on-Demand title. It will be printed specifically to fill your order. Please allow an additional 10-15 days delivery time. The book is not returnable.
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EXPERIMENTATION AND DECISION: GENERAL THEORY.
The Problem and the Two Basic Modes of Analysis.
Sufficient Statistics and Noninformative Stopping.
Conjugate Prior Distributions.
EXTENSIVE-FORM ANALYSIS WHEN SAMPLING AND TERMINAL UTILITIES ARE ADDITIVE.
Additive Utility, Opportunity Loss, and the Value of Information: Introduction to Part II.
Linear Terminal Analysis.
Selection of the Best of Several Processes.
Problems in Which the Act and State Spaces Coincide.
DISTRIBUTION THEORY.
Univariate Normalized Mass and Density Functions.
Multivariate Normalized Density Functions.
Bernoulli Process.
Poisson Process.
Independent Normal Process.
Independent Multinormal Process.
Normal Regression Process.
The Problem and the Two Basic Modes of Analysis.
Sufficient Statistics and Noninformative Stopping.
Conjugate Prior Distributions.
EXTENSIVE-FORM ANALYSIS WHEN SAMPLING AND TERMINAL UTILITIES ARE ADDITIVE.
Additive Utility, Opportunity Loss, and the Value of Information: Introduction to Part II.
Linear Terminal Analysis.
Selection of the Best of Several Processes.
Problems in Which the Act and State Spaces Coincide.
DISTRIBUTION THEORY.
Univariate Normalized Mass and Density Functions.
Multivariate Normalized Density Functions.
Bernoulli Process.
Poisson Process.
Independent Normal Process.
Independent Multinormal Process.
Normal Regression Process.
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