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.

1. Decision theory 2. Bayesian methods 3. Hypothesis testing 4. Special models 5. Sufficiency and completeness 6. Two-sided tests and conditional inference 7. Likelihood theory 8. Higher-order theory 9. Predictive inference 10. Bootstrap methods References Index.

등록된 사용후기

사용후기 쓰기 새 창 더보기

사용후기가 없습니다.

등록된 상품문의

상품문의 쓰기새 창 더보기

상품문의가 없습니다.

배송정보

교환/반품 정보