Asymptotics in Statistics
Some Basic Concepts
Springer (Publisher)
Published in August 1990
Book
Hardback
VIII, 180 pages
978-3-540-97372-0 (ISBN)
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Description
The book grew out of lectures given over a period of about 30 to 35 years on asymptotic methods in statistics. Most current texts, except the monographs by Le Cam (Springer-Verlag 1986) and Strasser (1985) emphasize a theory based on maximum likelihood estimates while this text emphasizes approximation by Gaussian families of measures, as well as quadratic expansions of log likelihood. The book presents in a short form some of the main results acquired in the past 20 years in the field of asymptotic statistical inference. The methods can be used very widely. The basic theorems are presented at a level that should not disturb a beginning graduate student.
More details
Series
Language
English
Place of publication
Berlin
Germany
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 240 mm
Weight
435 gr
ISBN-13
978-3-540-97372-0 (9783540973720)
Schweitzer Classification
Other editions
New editions

Book
07/2000
2nd Edition
Springer
€235.39
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Content
Contents: Preface.- Introduction.- Experiments, Deficiencies, Distances.- Contiguity - Hellinger Transforms.- Limit Laws for Likelihood Ratios Obtained from Independent Observations.- Locally Asymptotically Normal Families.- Independent, Identically Distributed Observations.- On Bayes Procedures.- Bibliography.- Author Index.- Subject Index.