Description
Book SynopsisThis is an examination of the applications of Bayesian statistical theory to real-life business problems of decision under conditions of uncertainty.
Table of ContentsEXPERIMENTATION 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.
