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Springer All of Nonparametric Statistics (Springer Texts in Statistics)

Name: All of Nonparametric Statistics (Springer Texts in Statistics)
Brand: Springer

AI & Machine Learning

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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 Specifications

Brand: Springer
Format: paperback
ASIN: 1441920447
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 19 November 2010
Listed Since: 14 June 2010

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Springer All of Nonparametric Statistics (Springer Texts in Statistics)

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