Density Estimation for Statistics and Data Analysis

 
9780412246203: Density Estimation for Statistics and Data Analysis

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Contenuti:

Introduction. Survey of Existing Methods. The Kernel Method for Univariate Data. The Kernel Method for Multivariate Data. Three Important Methods. Density Estimation in Action.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

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1.

Silverman, Bernard. W.
Editore: Taylor Francis Ltd, United States (1986)
ISBN 10: 0412246201 ISBN 13: 9780412246203
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Descrizione libro Taylor Francis Ltd, United States, 1986. Hardback. Condizione libro: New. Softcover Reprint of the Origi ed.. 231 x 160 mm. Language: English . Brand New Book. 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. Codice libro della libreria AAZ9780412246203

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Silverman, Bernard. W.
Editore: Chapman and Hall/CRC (1986)
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Descrizione libro Chapman and Hall/CRC, 1986. HRD. Condizione libro: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Codice libro della libreria F9-9780412246203

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Silverman, Bernard. W.
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Descrizione libro Chapman and Hall/CRC 1986-04-01|NU-GRD-00570303, 1986. HARDCOVER. Condizione libro: New. 9780412246203. Codice libro della libreria NU-GRD-00570303

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Descrizione libro Taylor & Francis Ltd 1986-04-01, 1986. hardback. Condizione libro: New. Codice libro della libreria 9780412246203

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Silverman, Bernard. W.
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Descrizione libro Taylor Francis Ltd, United States, 1986. Hardback. Condizione libro: New. Softcover Reprint of the Origi ed.. 231 x 160 mm. Language: English . Brand New Book. 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. Codice libro della libreria AAZ9780412246203

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Descrizione libro Condizione libro: New. Bookseller Inventory # ST0412246201. Codice libro della libreria ST0412246201

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Silverman, Bernard. W.
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Descrizione libro Chapman and Hall/CRC, 1986. Condizione libro: New. Bookseller Inventory # ST0412246201. Codice libro della libreria ST0412246201

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Descrizione libro Chapman and Hall, 1986. Condizione libro: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: Density Estimation for Statistics and Data Analysis presents a practical, accessible account of density estimation with the goal of facilitating broader practical application of density estimation and encouraging further research. The author discusses several applications, including the analysis and presentation of data, nonparametric discriminant analysis, cluster analysis, simulation and the bootstrap, bump hunting, projection pursuit, and the estimation of hazard rates. The book includes a general survey of methods available for density estimation and discusses the kernel method, adaptive methods, and methods based on penalized likelihood. More the 50 graphs and figures complement the text. Codice libro della libreria ABE_book_new_0412246201

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Silverman, Bernard. W.
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Descrizione libro Taylor & Francis Ltd, 1986. Condizione libro: New. 1986. 1st Edition. Hardcover. An exposition of density estimation for statistics and data analysis. A volume in the "Monographs on Statistics and Applied Probability" series, it is designed for applied statisticians Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability. Num Pages: 176 pages, Illustrations. BIC Classification: GPH; PBT; PBW. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 232 x 160 x 16. Weight in Grams: 422. . . . . . . Codice libro della libreria V9780412246203

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Silverman, Bernard. W.
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Descrizione libro Hardback. Condizione libro: New. Not Signed; 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. book. Codice libro della libreria ria9780412246203_rkm

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