All of nonparametric statistics / Larry Wasserman.

Focuses on various aspects of nonparametric inference that covers various topics in one place. This text includes coverage of: the bootstrap, the nonparametric delta method, nonparametric regression, density estimation, orthogonal function methods, minimax estimation, nonparametric confidence sets,...

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Bibliographic Details
Main Author: Wasserman, Larry, 1959- (Author)
Format: Ebook
Language:English
Published: New York ; London : Springer, [2006]
Series:Springer texts in statistics.
Subjects:
Online Access:Springer eBooks
Description
Summary:Focuses on various aspects of nonparametric inference that covers various topics in one place. This text includes coverage of: the bootstrap, the nonparametric delta method, nonparametric regression, density estimation, orthogonal function methods, minimax estimation, nonparametric confidence sets, and wavelets.
Physical Description:1 online resource (xii, 268 pages) : illustrations.
Format:Mode of access: World Wide Web.
Bibliography:Includes bibliographical references and index.
ISBN:0387306234
1280619155
9780387306230
9781280619151
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