Nonparametric Functional Data Analysis

Name: Nonparametric Functional Data Analysis
Brand: Springer-Verlag New York Inc.
SKU: 9780387303697
Price: 51266 HUF
Availability: InStock

Szerző: Fr d ric Ferraty

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer-Verlag New York Inc.

Elérhetőség: Beszállítói készleten alacsony példányszámban

Küldés 13-18 napon belül

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Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On...

Információk a könyvről

Szerző

Fr d ric Ferraty

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2006

oldal

260

EAN

9780387303697

ISBN

0387303693

Enbook ID

04066817

Kiadó

Springer-Verlag New York Inc.

Súly

1270

Méretek

156 x 235 x 25

Teljes leírás

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. This book starts from theoretical foundations including functional nonparametric modeling, 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. Several functional datasets in chemometrics, econometrics, and pattern recognition are used to emphasize the wide scope of nonparametric functional data analysis in applied sciences. The companion Web site includes R and S-PLUS routines, command lines for reproducing examples presented in the book, and the functional datasets.§§Rather than set application against theory, this book is really an interface of these two features of statistics. A special effort has been made in writing this book to accommodate several levels of reading. The computational aspects are oriented toward practitioners whereas open problems emerging from this new field of statistics will attract Ph.D. students and academic researchers. Finally, this book is also accessible to graduate students starting in the area of functional statistics.

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Nonparametric Functional Data Analysis

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