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Density Estimation for Statistics and Data Analysis by Bernard. W. Silverman is a mathematics available to read on EtoBox.

What is Density Estimation for Statistics and Data Analysis about?

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 dens

Who reads Density Estimation for Statistics and Data Analysis?

Author

Bernard. W. Silverman

Publisher

Chapman and Hall/CRC

Published

1998

Language

EN

ISBN

9781032359335

Category

mathematics

Subjects

Mathematics, Stem

Rating

5 / 5 (3 ratings)

Updated

2026-03-14