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Titlebook: Nonparametric Functional Data Analysis; Theory and Practice Frédéric Ferraty,Philippe Vieu Book 2006 Springer-Verlag New York 2006 Parametr

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書目名稱Nonparametric Functional Data Analysis
副標(biāo)題Theory and Practice
編輯Frédéric Ferraty,Philippe Vieu
視頻videohttp://file.papertrans.cn/668/667822/667822.mp4
概述Shows how functional data can be studied through parameter-free statistical ideas.Offers an original presentation of new nonparametric statistical methods for functional data analysis.The text is care
叢書名稱Springer Series in Statistics
圖書封面Titlebook: Nonparametric Functional Data Analysis; Theory and Practice Frédéric Ferraty,Philippe Vieu Book 2006 Springer-Verlag New York 2006 Parametr
描述.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
出版日期Book 2006
關(guān)鍵詞Parametric statistics; Pattern Recognition; calculus; data analysis; econometrics; modeling; nonparametric
版次1
doihttps://doi.org/10.1007/0-387-36620-2
isbn_softcover978-1-4419-2141-3
isbn_ebook978-0-387-36620-3Series ISSN 0172-7397 Series E-ISSN 2197-568X
issn_series 0172-7397
copyrightSpringer-Verlag New York 2006
The information of publication is updating

書目名稱Nonparametric Functional Data Analysis影響因子(影響力)




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nd the relationship between the structures in nature and the forces that maintain them. In particular, we obtained Newton’s second law of motion, which enables us to study the dynamical behavior of the bodies that constitute a particular system, provided we know the nature of the force exerted on an
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s minute body and parts incomparably more minute, limbs with their joints, veins in the limbs, blood in the veins, humors in the blood, drops in the humors, vapors in the drops. Dividing these last things again, let him exhaust his powers of conception, and let the last object at which he can arrive
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th, in which a body is contained or through which it can pass. But likewise we must say that its dimensions are incorporeal and thus that place is an incorporeal volume or space, or in other words, an incorporeal quantity. And from the beginning we must distinguish these two sorts of dimensions, of
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