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

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Description

This book links two fields of modern statistics by explaining how functional data can be studied through parameter-free statistical ideas. This book starts from theoretical foundations including functional nonparametric modelling, description of the mathematical framework, construction of the statistical methods, and statements of their asymptotic behaviors. It proceeds to computational issues including R and S-PLUS routines.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
24 November 2010
Listed Since
06 July 2010

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