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Kernel Smoothing
Buch von M. P. Wand (u. a.)
Sprache: Englisch

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Beschreibung
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.
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.
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
Artikel-ID: 126963082
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
Artikel-ID: 126963082
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