All of Nonparametric Statistics (Hardcover, 1st ed. 2005. Corr. 3rd. printing 2007)

This text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference. The book is aimed at Masters or PhD level students in statistics, computer science, and engineering. It is also suitable for researchers who want to get up to speed quickly on modern nonparametric methods. It covers a wide range of topics including the bootstrap, the nonparametric delta method, nonparametric regression, density estimation, orthogonal function methods, minimax estimation, nonparametric confidence sets, and wavelets. The book's dual approach includes a mixture of methodology and theory.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Texts in Statistics
Release date:	May 2007
First published:	2006
Authors:	Larry Wasserman
Dimensions:	235 x 155 x 21mm (L x W x T)
Format:	Hardcover
Pages:	270
Edition:	1st ed. 2005. Corr. 3rd. printing 2007
ISBN-13:	978-0-387-25145-5
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	0-387-25145-6
Barcode:	9780387251455

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