Description: Kernel Smoothing, Hardcover by Wand, M. P.; Jones, M. C., ISBN 0412552701, ISBN-13 9780412552700, Brand New, Free shipping in the US Kernel smoothing refers to a general methodology for recovery of underlying structure in data 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. 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 th, and the accompanying R package can be found .
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Book Title: Kernel Smoothing
Number of Pages: 224 Pages
Language: English
Publication Name: Kernel Smoothing
Publisher: CRC Press LLC
Publication Year: 1994
Subject: Probability & Statistics / General
Item Height: 0.7 in
Item Weight: 16.8 Oz
Type: Textbook
Author: M. P. Wand, M. C. Jones
Item Length: 9.4 in
Subject Area: Mathematics
Item Width: 7 in
Series: Chapman and Hall/Crc Monographs on Statistics and Applied Probability Ser.
Format: Hardcover
