Essentials of Statistical Inference

Cambridge Series in Statistical and Probabilistic Mathematics #16

by G.A. Young, R. L. Smith

This textbook presents the concepts and results underlying the Bayesian, frequentist, and Fisherian approaches to statistical inference, with particular emphasis on the contrasts between them. Aimed at advanced undergraduates and graduate students in mathematics and related disciplines, it covers basic mathematical theory as well as more advanced material, including such contemporary topics as Bayesian computation, higher-order likelihood theory, predictive inference, bootstrap methods, and conditional inference.

Genres: Mathematics

236 pages, Paperback

First published July 25, 2005

Reviews

[Lucille Nguyen · Rating 5 out of 5]

Readable overview of parametric statistical inference. Good for a review.