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Introduction to empirical processes and semiparametric inference

Author: Michael R Kosorok
Publisher: New York, N.Y. : Springer, ©2008.
Series: Springer series in statistics.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
"This book provides a self-contained, linear, and unified introduction to empirical processes and semiparametric inference. These powerful research techniques are surprisingly useful for developing methods of statistical reference for complex models and in understanding the properties of such methods. The targeted audience includes statisticians, biostatisticians, and other researchers with a background in  Read more...
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Genre/Form: Electronic books
Case studies
Additional Physical Format: Print version:
Kosorok, Michael R.
Introduction to empirical processes and semiparametric inference.
New York, N.Y., USA : Springer, ©2008
(DLC) 2007940955
(OCoLC)213356750
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Michael R Kosorok
ISBN: 9780387749785 0387749780 0387749772 9780387749778
OCLC Number: 233972325
Reproduction Notes: Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2011. MiAaHDL
Description: 1 online resource (xiv, 483 pages).
Details: Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
Contents: Introduction --
An Overview of The Empirical Processes --
Overview of Semiparametric Inference --
Case Studies I --
Introduction to Empirical Processes --
Preliminiaries for Empirical Processes --
Stochastic Convergence --
Empirical Process Methods --
Entropy Calculations --
Bootstrapping Empirical Processes --
Additional Empirical Process Results --
The Functional Delta Method --
Z-Estimators --
M-Estimators --
Case Studies II --
Introduction To Semiparametric Inference --
Seimparametric Models and Efficiency --
Efficient Inference for Fininte-Dimensional Parameters --
Efficient Inference for Infinite-Dimensional Parameters --
Semiparametric M-Estimators --
Case Studies III.
Series Title: Springer series in statistics.
Other Titles: Empirical processes and semiparametric inference
Semiparametric inference
Responsibility: Michael R. Kosorok.

Abstract:

Kosorok's brilliant text provides a self-contained introduction to empirical processes and semiparametric inference. These powerful research techniques are surprisingly useful for developing methods  Read more...

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From the reviews:"Introduction to Empirical Processes and Semiparametric Inference is a very good combination of both the empirical processes and semiparametric theories. This is the first book of Read more...

 
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