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

Type

Book

Authors

Ferraty ( Ferraty, Frederic )

Vieu ( Vieu, Philippe )

ISBN 10

0387303693

ISBN 13

9780387303697

Tags

Econometrics, Environmental Economics, Computer Science, Mathematical & Statistical, Environmental Science, Geology, Probability & Statistics

Series Name

Springer Series in Statistics

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. - from Amzon

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