Nonparametric Functional Data Analysis - Theory and Practice (Hardcover, 2006 ed.)

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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 Inc.

Country of origin

United States

Series

Springer Series in Statistics

Release date

June 2006

Availability

Expected to ship within 10 - 15 working days

First published

2006

Authors

,

Dimensions

237 x 155 x 16mm (L x W x T)

Format

Hardcover

Pages

258

Edition

2006 ed.

ISBN-13

978-0-387-30369-7

Barcode

9780387303697

Categories

LSN

0-387-30369-3



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