Comparative Statistical Inference

by Vic Barnett

Provides a general, cross-sectional view of statistical inference and decision-making. Constructs a rational, composite theory for the way individuals react, or should react, stressing interrelationships and conceptual conflicts. Traces the range of different definitions and interpretations of the probability concepts which underlie different approaches to statistical inference and decision-making. Outlines utility theory and its implications for general decision-making. Discusses the Neyman-Pearson approach, Bayesian methods, and Decision Theory. Pays particular attention to the basic concepts of probability, utility, likelihood, sufficiency, conjugacy, and admissibility, both within and between the different approaches.

Genres: Mathematics

342 pages, Hardcover

First published January 1, 1973

Reviews

[Goo · Rating 2 out of 5]

Interesting book. Only read some of the first chapters, but they helped with my understanding of different approaches to statistical inference.