Mathematical Statistics - Basic Ideas and Selected Topics, Volume I, Second Edition (Hardcover, 2nd edition)

Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition presents fundamental, classical statistical concepts at the doctorate level. It covers estimation, prediction, testing, confidence sets, Bayesian analysis, and the general approach of decision theory. This edition gives careful proofs of major results and explains how the theory sheds light on the properties of practical methods. The book first discusses non- and semiparametric models before covering parameters and parametric models. It then offers a detailed treatment of maximum likelihood estimates (MLEs) and examines the theory of testing and confidence regions, including optimality theory for estimation and elementary robustness considerations. It next presents basic asymptotic approximations with one-dimensional parameter models as examples. The book also describes inference in multivariate (multiparameter) models, exploring asymptotic normality and optimality of MLEs, Wald and Rao statistics, generalized linear models, and more. Mathematical Statistics: Basic Ideas and Selected Topics, Volume II will be published in 2015. It will present important statistical concepts, methods, and tools not covered in Volume I.

General

Imprint:	Productivity Press
Country of origin:	United States
Series:	Chapman & Hall/CRC Texts in Statistical Science
Release date:	April 2015
First published:	2015
Authors:	Peter J. Bickel • Kjell A Doksum
Dimensions:	254 x 178 x 40mm (L x W x T)
Format:	Hardcover
Pages:	576
Edition:	2nd edition
ISBN-13:	978-1-4987-2380-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	1-4987-2380-2
Barcode:	9781498723800

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