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All of Nonparametric Statistics

ISBN-10: 0387251456

ISBN-13: 9780387251455

Edition: 2006

Authors: Larry Wasserman

List price: $149.99
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Description:

The goal of this text is to provide the reader with a single book where they can find a brief account of many, modern topics in nonparametric inference. The book is aimed at Master's level or Ph.D. 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. This text 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 has a mixture of methods and theory.
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Book details

List price: $149.99
Copyright year: 2006
Publisher: Springer
Publication date: 5/22/2007
Binding: Hardcover
Pages: 270
Size: 6.25" wide x 9.50" long x 0.75" tall
Weight: 0.770
Language: English

Introduction
Estimating the CDF and Statistical Functions
The Bootstrap and the Jackknife
Smoothing: General Concepts
Nonparametric Regression
Density Estimation
Normal Means and Minimax Theory
Nonparametric Inference Using Orthogonal Functions
Wavelets and Other Adaptive Means