Empirical Processes in M-Estimation (Cambridge Series in Statistical and Probabilistic Mathematics)
(Book #6 in the Cambridge Series in Statistical and Probabilistic Mathematics Series)
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Book Overview
The theory of empirical processes provides valuable tools for the development of asymptotic theory in (nonparametric) statistical models, and makes it possible to give a unified treatment of various models. This book reveals the relation between the asymptotic behavior of M-estimators and the complexity of parameter space, using entropy as a measure of complexity, presenting tools and methods to analyze nonparametric, and in some cases, semiparametric methods. Graduate students and professionals in statistics, as well as those interested in applications, e.g. to econometrics, medical statistics, etc., will welcome this treatment.
Format:Paperback
Language:English
ISBN:0521123259
ISBN13:9780521123259
Release Date:November 2009
Publisher:Cambridge University Press
Length:300 Pages
Weight:1.35 lbs.
Dimensions:0.6" x 7.0" x 10.0"
Related Subjects
Business Business & Investing Math Mathematics Probability & Statistics Science & MathCustomer Reviews
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