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Kernel Smoothing (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

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Description: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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Kernel Smoothing (Chapman & Hall/CRC Monographs on Statistics and Applied Probability). To get started finding Kernel Smoothing (Chapman & Hall/CRC Monographs on Statistics and Applied Probability), you are right to find our website which has a comprehensive collection of manuals listed.
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ISBN: 0412552701

Description: 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Kernel Smoothing (Chapman & Hall/CRC Monographs on Statistics and Applied Probability). To get started finding Kernel Smoothing (Chapman & Hall/CRC Monographs on Statistics and Applied Probability), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Kernel Smoothing (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Kernel Smoothing (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

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