Essentials of Statistical Inference

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.