Larry Wasserman

(Author)

All of Nonparametric StatisticsPaperback, 19 November 2010

All of Nonparametric Statistics
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Part of Series
Springer Texts in Statistics
Print Length
270 pages
Language
English
Publisher
Springer
Date Published
19 Nov 2010
ISBN-10
1441920447
ISBN-13
9781441920447

Description

Aimed at Masters or PhD level students in statistics, computer science, and engineering, this comprehensive text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference, all set out with exceptional clarity. It is also suitable for researchers who want to get up to speed quickly on modern nonparametric methods. With an exhaustive exploration of asymptotic nonparametric inferences, it also covers a huge range of other crucial topic areas 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.

Product Details

Author:
Larry Wasserman
Book Format:
Paperback
Country of Origin:
NL
Date Published:
19 November 2010
Dimensions:
23.11 x 15.49 x 1.52 cm
ISBN-10:
1441920447
ISBN-13:
9781441920447
Language:
English
Location:
New York, NY
Pages:
270
Publisher:
Weight:
385.55 gm

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