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Kernel Smoothing - Wand, M P, and Jones, M C
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Kernal Smoothing 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. The book is self-contained and assumes only a basic knowledge of statistics, calculus, and matrix algebra. It is an ...

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Kernel Smoothing 1994, CRC Press, Oxford

ISBN-13: 9780412552700

Softcover Reprint of the Origi edition

Hardcover