Nonparametric Functional Data Analysis - Theory and Practice (Paperback, Softcover reprint of hardcover 1st ed. 2006)

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Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration. This book links these two fields of modern statistics by explaining how functional data can be studied through parameter-free statistical ideas. At the same time it shows how functional data can be studied through parameter-free statistical ideas, and offers an original presentation of new nonparametric statistical methods for functional data analysis.


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Product Description

Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration. This book links these two fields of modern statistics by explaining how functional data can be studied through parameter-free statistical ideas. At the same time it shows how functional data can be studied through parameter-free statistical ideas, and offers an original presentation of new nonparametric statistical methods for functional data analysis.

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Product Details

General

Imprint

Springer-Verlag New York

Country of origin

United States

Series

Springer Series in Statistics

Release date

November 2010

Availability

Expected to ship within 10 - 15 working days

First published

2006

Authors

,

Dimensions

235 x 155 x 15mm (L x W x T)

Format

Paperback

Pages

260

Edition

Softcover reprint of hardcover 1st ed. 2006

ISBN-13

978-1-4419-2141-3

Barcode

9781441921413

Categories

LSN

1-4419-2141-9



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