for Kindle Fire, Apple, Android, Nook, Kobo, PC, Mac, BlackBerry ...

New to eBooks.com?

Learn more

Nonparametric Functional Data Analysis

Theory and Practice

Nonparametric Functional Data Analysis by Frédéric Ferraty
Add to cart
US$ 169.00
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.
Springer; November 2006
275 pages; ISBN 9780387366203
Read online, or download in secure PDF format
Title: Nonparametric Functional Data Analysis
Author: Frédéric Ferraty; Philippe Vieu
 
Buy, download and read Nonparametric Functional Data Analysis (eBook) by Frédéric Ferraty; Philippe Vieu today!