1st Edition
Density Estimation for Statistics and Data Analysis
By Bernard. W. Silverman
Copyright 1998
186 Pages
by
Chapman & Hall
176 Pages
by
Routledge
Also available as eBook on:
Although there has been a surge of interest in density estimation in recent years, much of the published research has been concerned with purely technical matters with insufficient emphasis given to the technique's practical value. Furthermore, the subject has been rather inaccessible to the general statistician. The account presented in this book places emphasis on topics of methodological... Read more
Introduction. Survey of Existing Methods. The Kernel Method for Univariate Data. The Kernel Method for Multivariate Data. Three Important Methods. Density Estimation in Action.
Biography
Silverman, Bernard. W.
"This well-written and moderately priced volume has removed any excuse for ignorance concerning density estimation on the part of applied statisticians; they will find the style refreshingly down-to-earth, and will value the clearsighted exposition. I thoroughly enjoyed reading it, and can recommend it wholeheartedly."
-Short Book Reviews
"Highly recommended."
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