Nonparametric Functional Data Analysis

✍ Scribed by Frédéric Ferraty, Philippe Vieu

Publisher: Springer
Year: 2010
Tongue: English
Leaves: 260
Series: Springer Series in Statistics
Edition: 1st Edition.
Category: Library

No coin nor oath required. For personal study only.

✦ 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.

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