Density Estimation for Statistics and Data Analysis / (Record no. 70465)

000 -LEADER
fixed length control field 03093cam a2200349Ii 4500
001 - CONTROL NUMBER
control field 9781315140919
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180706s2018 xx ob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781315140919
-- (e-book : PDF)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781351456159
-- (e-book: Mobi)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- (hardback)
082 04 - CLASSIFICATION NUMBER
Call Number 519.544
100 1# - AUTHOR NAME
Author Silverman, Bernard. W.,
245 10 - TITLE STATEMENT
Title Density Estimation for Statistics and Data Analysis /
250 ## - EDITION STATEMENT
Edition statement First edition.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource
520 2# - SUMMARY, ETC.
Summary, etc "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."--Provided by publisher.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.taylorfrancis.com/books/9781315140919
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Boca Raton, FL :
-- CRC Press,
-- 2018.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematical statistics.
650 04 - SUBJECT ADDED ENTRY--SUBJECT 1
-- ARCHIVEnetBASE
650 04 - SUBJECT ADDED ENTRY--SUBJECT 1
-- SCI-TECHnetBASE
650 04 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistical Theory & Methods
650 04 - SUBJECT ADDED ENTRY--SUBJECT 1
-- STATSnetBASE
650 04 - SUBJECT ADDED ENTRY--SUBJECT 1
-- STMnetBASE

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