Описание
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.
Детали книги
Формат
Твердый переплет
Страницы
236 страниц
Язык
Английский
Опубликовано
Jul 25, 2005
Издатель
Cambridge University Press
Издания
Изданий: 6
ISBN-10
0521839718
ISBN-13
9780521839716