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Kernel smoothing refers to a general methodology for recovery of underlying structure in data [...] basic principle is that local averaging or smoothing is performed with respect to a kernel function.
This book provides uninitiated readers with a feeling for the principles, applications, and analysis of kernel smoothers. This is facilitated by the authors' focus on the simplest settings, namely density estimation and nonparametric regression.
They pay particular attention to the problem of choosing the smoothing parameter of a kernel smoother, and also treat the multivariate case in detail.
Kernel Smoothing is self-contained and assumes only a basic knowledge of statistics, calculus, and matrix algebra. It is an invaluable introduction to the main ideas of kernel estimation for students and researchers from other discipline and provides a comprehensive reference for those familiar with the topic.
More information on the book, and the accompanying R package can be found here.
This book provides uninitiated readers with a feeling for the principles, applications, and analysis of kernel smoothers. This is facilitated by the authors' focus on the simplest settings, namely density estimation and nonparametric regression.
They pay particular attention to the problem of choosing the smoothing parameter of a kernel smoother, and also treat the multivariate case in detail.
Kernel Smoothing is self-contained and assumes only a basic knowledge of statistics, calculus, and matrix algebra. It is an invaluable introduction to the main ideas of kernel estimation for students and researchers from other discipline and provides a comprehensive reference for those familiar with the topic.
More information on the book, and the accompanying R package can be found here.
Kernel smoothing refers to a general methodology for recovery of underlying structure in data [...] basic principle is that local averaging or smoothing is performed with respect to a kernel function.
This book provides uninitiated readers with a feeling for the principles, applications, and analysis of kernel smoothers. This is facilitated by the authors' focus on the simplest settings, namely density estimation and nonparametric regression.
They pay particular attention to the problem of choosing the smoothing parameter of a kernel smoother, and also treat the multivariate case in detail.
Kernel Smoothing is self-contained and assumes only a basic knowledge of statistics, calculus, and matrix algebra. It is an invaluable introduction to the main ideas of kernel estimation for students and researchers from other discipline and provides a comprehensive reference for those familiar with the topic.
More information on the book, and the accompanying R package can be found here.
This book provides uninitiated readers with a feeling for the principles, applications, and analysis of kernel smoothers. This is facilitated by the authors' focus on the simplest settings, namely density estimation and nonparametric regression.
They pay particular attention to the problem of choosing the smoothing parameter of a kernel smoother, and also treat the multivariate case in detail.
Kernel Smoothing is self-contained and assumes only a basic knowledge of statistics, calculus, and matrix algebra. It is an invaluable introduction to the main ideas of kernel estimation for students and researchers from other discipline and provides a comprehensive reference for those familiar with the topic.
More information on the book, and the accompanying R package can be found here.
Über den Autor
M.P. Wand, M.C. Jones
Inhaltsverzeichnis
Introduction
Univariate kernel density estimation
Bandwith selectionMultivariate kernel density estimation
Kernel regression
Selected extra topic
Appendices
Details
Erscheinungsjahr: | 1994 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Importe, Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Inhalt: |
XII
212 S. |
ISBN-13: | 9780412552700 |
ISBN-10: | 0412552701 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: |
Wand, M. P.
Jones, M. C. |
Hersteller: |
Springer US
Chapman and Hall/CRC |
Verantwortliche Person für die EU: | Books on Demand GmbH, In de Tarpen 42, D-22848 Norderstedt, info@bod.de |
Maße: | 240 x 161 x 17 mm |
Von/Mit: | M. P. Wand (u. a.) |
Erscheinungsdatum: | 01.12.1994 |
Gewicht: | 0,514 kg |
Über den Autor
M.P. Wand, M.C. Jones
Inhaltsverzeichnis
Introduction
Univariate kernel density estimation
Bandwith selectionMultivariate kernel density estimation
Kernel regression
Selected extra topic
Appendices
Details
Erscheinungsjahr: | 1994 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Importe, Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Inhalt: |
XII
212 S. |
ISBN-13: | 9780412552700 |
ISBN-10: | 0412552701 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: |
Wand, M. P.
Jones, M. C. |
Hersteller: |
Springer US
Chapman and Hall/CRC |
Verantwortliche Person für die EU: | Books on Demand GmbH, In de Tarpen 42, D-22848 Norderstedt, info@bod.de |
Maße: | 240 x 161 x 17 mm |
Von/Mit: | M. P. Wand (u. a.) |
Erscheinungsdatum: | 01.12.1994 |
Gewicht: | 0,514 kg |
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