Applied Statistical Decision Theory

"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

Spis treści:
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.