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Nonparametric Functional Data Analysis - Philippe Vieu#Frédéric Ferraty
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Nonparametric Functional Data Analysis - neues Buch

2006, ISBN: 9780387303697

ID: 187712397

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. Models, Theory, Applications and Implementations Bücher > Fremdsprachige Bücher > Englische Bücher gebundene Ausgabe 06.06.2006 Buch (fremdspr.), Springer, .200

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Nonparametric Functional Data Analysis - Frédéric Ferraty#Philippe Vieu
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Models, Theory, Applications and Implementations 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. Bücher / Fremdsprachige Bücher / Englische Bücher 978-0-387-30369-7, Springer

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Nonparametric Functional Data Analysis - Philippe Vieu#Frédéric Ferraty
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Philippe Vieu#Frédéric Ferraty:
Nonparametric Functional Data Analysis - neues Buch

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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. Models, Theory, Applications and Implementations Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, Springer

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Nonparametric Functional Data Analysis: Theory and Practice - Ferraty, Frederic / Vieu, Philippe
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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. Nonparametric Functional Data Analysis: Theory and Practice Ferraty, Frederic / Vieu, Philippe, Springer

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Nonparametric Functional Data Analysis - Frédéric Ferraty
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Nonparametric Functional Data Analysis - neues Buch

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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. weltbild.at > Bücher > Wissenschaft & Technik > Mathematik, [PU: Springer]

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Details zum Buch
Nonparametric Functional Data Analysis
Autor:

Ferraty, Frédéric; Vieu, Philippe

Titel:

Nonparametric Functional Data Analysis

ISBN-Nummer:

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.

Detailangaben zum Buch - Nonparametric Functional Data Analysis


EAN (ISBN-13): 9780387303697
ISBN (ISBN-10): 0387303693
Gebundene Ausgabe
Erscheinungsjahr: 2006
Herausgeber: Springer-Verlag GmbH
268 Seiten
Gewicht: 0,531 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 13.06.2007 07:56:16
Buch zuletzt gefunden am 30.06.2017 13:09:21
ISBN/EAN: 0387303693

ISBN - alternative Schreibweisen:
0-387-30369-3, 978-0-387-30369-7


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