All of Nonparametric Statistics

All of Nonparametric Statistics
ISBN-10
0387306234
ISBN-13
9780387306230
Category
Mathematics
Pages
270
Language
English
Published
2006-09-10
Publisher
Springer Science & Business Media
Author
Larry Wasserman

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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