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M.P. Wand 作者

Chapman and Hall/CRC

译者

1994-12-01 出版日期

228 页数

USD 124.95 价格

Hardcover

丛书系列

9780412552700 图书编码

Kernel Smoothing 在线电子书图书标签: 统计數學数学

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Kernel Smoothing 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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Kernel Smoothing 在线电子书图书描述

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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