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Theoretical statistics : topics for a core course

Autor: Robert W Keener
Editorial: New York : Springer, 2010.
Serie: Springer texts in statistics.
Edición/Formato:   Libro-e : Documento : Inglés (eng)Ver todas las ediciones y todos los formatos
Base de datos:WorldCat
Resumen:
Intended as the text for a sequence of advanced courses, this book covers major topics in theoretical statistics in a concise and rigorous fashion. The discussion assumes a background in advanced calculus, linear algebra, probability, and some analysis and topology. Measure theory is used, but the notation and basic results needed are presented in an initial chapter on probability, so prior knowledge of these topics  Leer más
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Género/Forma: Electronic books
Formato físico adicional: Print version:
Keener, Robert W.
Theoretical statistics.
New York : Springer, 2010
(DLC) 2010935925
(OCoLC)688477588
Tipo de material: Documento, Recurso en Internet
Tipo de documento: Recurso en Internet, Archivo de computadora
Todos autores / colaboradores: Robert W Keener
ISBN: 9780387938394 0387938397 0387938389 9780387938387
Número OCLC: 676700036
Descripción: 1 online resource (xvii, 538 pages) : illustrations.
Contenido: Probability and measure --
Exponential families --
Risk, sufficiency, completeness, and ancillarity --
Unbiased estimation --
Curved exponential families --
Conditional distributions --
Bayesian estimation --
Large sample theory --
Estimating equations and maximum likelihood --
Equivariant estimation --
Empirical bayes and shrinkage estimators --
Hypothesis testing --
Optimal tests in higher dimensions --
General linear model --
Bayesian inference: Modeling and computation --
Asymptotic optimality --
Large sample theory for likelihood ratio tests --
Nonparametric regression --
Bootstrap methods --
Sequential methods.
Título de la serie: Springer texts in statistics.
Responsabilidad: Robert W. Keener.

Resumen:

Covers topics in theoretical statistics. This book includes chapters that covers bootstrap methods, nonparametric regression, equivariant estimation, empirical Bayes, and sequential design and  Leer más

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From the reviews: "The book is innovative in the presentation and in mashing the traditional material with modern topics. The presentation shows a great mastery of the subject. ... recommended to Leer más

 
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