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

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

by PhilippeVieu (Author), Frédéric Ferraty (Author)

Synopsis

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.

$164.23

Quantity

20+ in stock

More Information

Format: Hardcover
Pages: 268
Edition: illustrated edition
Publisher: Springer
Published: 15 Aug 2006

ISBN 10: 0387303693
ISBN 13: 9780387303697