Science/Engineering Nonparametric Functional Data Analysis: Theory and Practice (0387303693)

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Frédéric Ferraty, Philippe Vieu, "Nonparametric Functional Data Analysis: Theory and Practice"

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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	Science/Engineering Spatial Data Analysis: Theory and Practice Spatial Data Analysis: Theory and Practice 452 pages \| Cambridge University Press; 1 edition (June 16, 2003) \| English \| ISBN: 0521774373 \| PDF \| 6 MB Product DescriptionAre there geographic clusters of disease cases, or hotspots of crime? ...
	Science/Engineering Data Flow Analysis: Theory and Practice Data Flow Analysis: Theory and Practice Publisher: CRC \| Pages: 395 \| 2009-03-27 \| ISBN 0849328802 \| PDF \| 2 MBThis work provides an in-depth treatment of data flow analysis technique. Apart from including interprocedural data fl ...
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