Nonparametric Functional Data Analysis 2024 pdf epub mobi 電子書 下載


Nonparametric Functional Data Analysis

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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.</P>

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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. </P>

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Nonparametric Functional Data Analysis 2024 pdf epub mobi 電子書 下載



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出版者:Springer
作者:Frédéric Ferraty
出品人:
頁數:278
譯者:
出版時間:2006-06-06
價格:USD 79.95
裝幀:Hardcover
isbn號碼:9780387303697
叢書系列:

圖書標籤: 科普  數據處理  textbook統計  @網   


Nonparametric Functional Data Analysis 2024 pdf epub mobi 電子書 下載
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