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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.
Introduction
Univariate kernel density estimation
Bandwith selectionMultivariate kernel density estimation
Kernel regression
Selected extra topic
Appendices
| Erscheinungsjahr: | 1994 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: |
XII
212 S. |
| ISBN-13: | 9780412552700 |
| ISBN-10: | 0412552701 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | HC gerader Rücken kaschiert |
| Einband: | Gebunden |
| Autor: |
Wand, M. P.
Jones, M. C. |
| Hersteller: |
Springer New York
Chapman and Hall/CRC Springer US, New York, N.Y. |
| Maße: | 240 x 161 x 17 mm |
| Von/Mit: | M. P. Wand (u. a.) |
| Erscheinungsdatum: | 01.12.1994 |
| Gewicht: | 0,516 kg |
Introduction
Univariate kernel density estimation
Bandwith selectionMultivariate kernel density estimation
Kernel regression
Selected extra topic
Appendices
| Erscheinungsjahr: | 1994 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: |
XII
212 S. |
| ISBN-13: | 9780412552700 |
| ISBN-10: | 0412552701 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | HC gerader Rücken kaschiert |
| Einband: | Gebunden |
| Autor: |
Wand, M. P.
Jones, M. C. |
| Hersteller: |
Springer New York
Chapman and Hall/CRC Springer US, New York, N.Y. |
| Maße: | 240 x 161 x 17 mm |
| Von/Mit: | M. P. Wand (u. a.) |
| Erscheinungsdatum: | 01.12.1994 |
| Gewicht: | 0,516 kg |
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