num_pages: 236
description: 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.
language: English
title: Essentials of Statistical Inference
titlecomplete: Essentials of Statistical Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 16)
genres: Mathematics
ratings_count: 10
series: Cambridge Series in Statistical and Probabilistic Mathematics
publisher: Cambridge University Press