Kernel Smoothing

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 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.

Author: M. P. Wand, M. C. Jones
Publisher: CRC Press
Published: 12/01/1994
Pages: 226
Binding Type: Hardcover
Weight: 0.98lbs
Size: 9.46h x 6.02w x 0.68d
ISBN: 9780412552700