Kernel Smoothing download ebook
Kernel Smoothing download ebook
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Author: M. C. Jones
Number of Pages: 224 pages
Published Date: 05 Sep 2000
Publisher: Taylor & Francis Ltd
Publication Country: London, England, United States
Language: English
ISBN: 9780412552700
File size: 37 Mb
File Name: Kernel.Smoothing.pdf
Download Link: Kernel Smoothing
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Kernel smoothing refers to a general methodology for recovery of underlying structure in data sets. The 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. Kernal 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.
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Kernel Smoothing by M. C. Jones
Author: M. C. Jones
Number of Pages: 224 pages
Published Date: 05 Sep 2000
Publisher: Taylor & Francis Ltd
Publication Country: London, England, United States
Language: English
ISBN: 9780412552700
File size: 37 Mb
File Name: Kernel.Smoothing.pdf
Download Link: Kernel Smoothing
---------------------------------------------------------------
Kernel smoothing refers to a general methodology for recovery of underlying structure in data sets. The 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. Kernal 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.
Read online Kernel Smoothing Buy Kernel Smoothing Download and read Kernel Smoothing ebook, pdf, djvu, epub, mobi, fb2, zip, rar, torrent Download to iPad/iPhone/iOS, B&N nook Kernel Smoothing ebook, pdf, djvu, epub, mobi, fb2, zip, rar, torrent
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Strengthing of Reinforced Concrete Beams Using Gfrp Composites
Zambia General Elections, 20 September 2011 epub