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Larry Wasserman 
All of Nonparametric Statistics 

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Cover of Larry Wasserman: All of Nonparametric Statistics (PDF)

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 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. 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.

€106.99
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Table of Content

Estimating the CDF and Statistical Functionals.- 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 Methods.- Other Topics.
Language English ● Format PDF ● Pages 270 ● ISBN 9780387306230 ● File size 3.0 MB ● Publisher Springer New York ● City NY ● Country US ● Published 2006 ● Downloadable 24 months ● Currency EUR ● ID 2144648 ● Copy protection Adobe DRM
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