ENGLISH

All of Nonparametric Statistics

By Larry Wasserman

Book information

ISBN
0387251456, 9780387251455
Open Library ID
OL7444765M
Language
english
Format
PDF
Filesize
3 MB (2731428 bytes)
Series
Springer Texts in Statistics
Pages
272\272
Time added
2011-01-06 10:13:16

Description

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.

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