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Essentials of statistical inference.

Aimed at advanced undergraduates and graduate students in mathematics and related disciplines, this engaging textbook gives a concise account of the main approaches to inference, with particular emphasis on the contrasts between them. It is the first textbook to synthesize contemporary material on c...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Young, G. A.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Cambridge Univ Press, 2005.
Ã2005
Colección:Cambridge series on statistical and probabilistic mathematics ; 16.
Temas:
Acceso en línea:Texto completo

MARC

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520 |a Aimed at advanced undergraduates and graduate students in mathematics and related disciplines, this engaging textbook gives a concise account of the main approaches to inference, with particular emphasis on the contrasts between them. It is the first textbook to synthesize contemporary material on computational topics with basic mathematical theory. 
505 0 |a Cover; Half-title; Series title; Title; Copyright; Contents; Preface; 1 Introduction; 2 Decision theory; 3 Bayesian methods; 4 Hypothesis testing; 5 Special models; 6 Sufficiency and completeness; 7 Two-sided tests and conditional inference; 8 Likelihood theory; 9 Higher-order theory; 10 Predictive inference; 11 Bootstrap methods; Bibliography; Index. 
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