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Nonparametric Functional Data Analysis Theory And Practice Springer Series In Statistics 1st Edition Frdric Ferraty

  • SKU: BELL-2007538
Nonparametric Functional Data Analysis Theory And Practice Springer Series In Statistics 1st Edition Frdric Ferraty
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Nonparametric Functional Data Analysis Theory And Practice Springer Series In Statistics 1st Edition Frdric Ferraty instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 3.83 MB
Pages: 280
Author: Frédéric Ferraty, Philippe Vieu
ISBN: 9780387303697, 0387303693
Language: English
Year: 2006
Edition: 1

Product desciption

Nonparametric Functional Data Analysis Theory And Practice Springer Series In Statistics 1st Edition Frdric Ferraty by Frédéric Ferraty, Philippe Vieu 9780387303697, 0387303693 instant download after payment.

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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