Density Estimation for Statistics and Data Analysis

Author:   Bernard. W. Silverman ,  D.R. Cox (Nuffield College, Oxford University, UK) ,  N. Reid (University of Toronto, Ontario, Canada) ,  Valerie Isham
Publisher:   Taylor & Francis Ltd
Volume:   26
ISBN:  

9780412246203


Pages:   186
Publication Date:   01 April 1986
Format:   Hardback
Availability:   In Print   Availability explained
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Density Estimation for Statistics and Data Analysis


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Overview

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 importance, in the hope that this will facilitate broader practical application of density estimation and also encourage research into relevant theoretical work. The book also provides an introduction to the subject for those with general interests in statistics. The important role of density estimation as a graphical technique is reflected by the inclusion of more than 50 graphs and figures throughout the text. Several contexts in which density estimation can be used are discussed, including the exploration and presentation of data, nonparametric discriminant analysis, cluster analysis, simulation and the bootstrap, bump hunting, projection pursuit, and the estimation of hazard rates and other quantities that depend on the density. This book includes general survey of methods available for density estimation. The Kernel method, both for univariate and multivariate data, is discussed in detail, with particular emphasis on ways of deciding how much to smooth and on computation aspects. Attention is also given to adaptive methods, which smooth to a greater degree in the tails of the distribution, and to methods based on the idea of penalized likelihood.

Full Product Details

Author:   Bernard. W. Silverman ,  D.R. Cox (Nuffield College, Oxford University, UK) ,  N. Reid (University of Toronto, Ontario, Canada) ,  Valerie Isham
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Volume:   26
Dimensions:   Width: 15.20cm , Height: 1.50cm , Length: 22.90cm
Weight:   0.490kg
ISBN:  

9780412246203


ISBN 10:   0412246201
Pages:   186
Publication Date:   01 April 1986
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Reviews

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. -Choice


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. -Choice


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Silverman, Bernard. W.

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