Springer Texts in Statistics Ser.: Theory of Point Estimation by George Casella and E. L. Lehmann (2011, Trade Paperback)
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About this product
Product Identifiers
PublisherSpringer New York
ISBN-101441931309
ISBN-139781441931306
eBay Product ID (ePID)124608840
Product Key Features
Number of PagesXxvi, 590 Pages
Publication NameTheory of Point Estimation
LanguageEnglish
Publication Year2011
SubjectProbability & Statistics / Stochastic Processes, Probability & Statistics / General, Applied
TypeTextbook
AuthorGeorge Casella, E. L. Lehmann
Subject AreaMathematics
SeriesSpringer Texts in Statistics Ser.
FormatTrade Paperback
Dimensions
Item Weight32.9 Oz
Item Length9.3 in
Item Width6.1 in
Additional Product Features
Edition Number2
Intended AudienceScholarly & Professional
Dewey Edition21
Number of Volumes1 vol.
IllustratedYes
Dewey Decimal519.544
Table Of ContentPreface to the Second Edition.- Preface to the First Edition.- List of Tables.- List of Figures.- List of Examples.- Table of Notation.- Preparations.- Unbiasedness.- Equivariance.- Average Risk Optimality.- Minimaxity and Admissibility.- Asymptotic Optimality.- References.- Author Index.- Subject Index.
SynopsisSince the publication in 1983 of Theory of Point Estimation, much new work has made it desirable to bring out a second edition. The inclusion of the new material has increased the length of the book from 500 to 600 pages; of the approximately 1000 references about 25% have appeared since 1983. The greatest change has been the addition to the sparse treatment of Bayesian inference in the first edition. This includes the addition of new sections on Equivariant, Hierarchical, and Empirical Bayes, and on their comparisons. Other major additions deal with new developments concerning the information in equality and simultaneous and shrinkage estimation. The Notes at the end of each chapter now provide not only bibliographic and historical material but also introductions to recent development in point estimation and other related topics which, for space reasons, it was not possible to include in the main text. The problem sections also have been greatly expanded. On the other hand, to save space most of the discussion in the first edition on robust estimation (in particu lar L, M, and R estimators) has been deleted. This topic is the subject of two excellent books by Hampel et al (1986) and Staudte and Sheather (1990). Other than subject matter changes, there have been some minor modifications in the presentation., The second edition of this classic book will serve as a reference on mathematical statistics for graduate students and researchers in mathematical statistics. Many topics are presented which have been available only in journal form.