ENGLISH

Nonparametric Functional Data Analysis: Theory and Practice (Springer Series in Statistics)

By Philippe Vieu , Frédéric Ferraty

Book information

Publisher
Springer
Year
2006
ISBN
0387303693, 9780387303697
Open Library ID
OL17630788M
Language
english
Format
PDF
Filesize
4 MB (4019159 bytes)
Series
Springer Series in Statistics
Edition
1
Pages
280\280
Time added
2011-06-04 13:46:07

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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