Mixtures

Estimation and Applications

Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Mixtures by Kerrie L. Mengersen, Christian Robert, Mike Titterington, Wiley
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Author: Kerrie L. Mengersen, Christian Robert, Mike Titterington ISBN: 9781119998440
Publisher: Wiley Publication: May 3, 2011
Imprint: Wiley Language: English
Author: Kerrie L. Mengersen, Christian Robert, Mike Titterington
ISBN: 9781119998440
Publisher: Wiley
Publication: May 3, 2011
Imprint: Wiley
Language: English

This book uses the EM (expectation maximization) algorithm to simultaneously estimate the missing data and unknown parameter(s) associated with a data set. The parameters describe the component distributions of the mixture; the distributions may be continuous or discrete.

The editors provide a complete account of the applications, mathematical structure and statistical analysis of finite mixture distributions along with MCMC computational methods, together with a range of detailed discussions covering the applications of the methods and features chapters from the leading experts on the subject. The applications are drawn from scientific discipline, including biostatistics, computer science, ecology and finance. This area of statistics is important to a range of disciplines, and its methodology attracts interest from researchers in the fields in which it can be applied.

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This book uses the EM (expectation maximization) algorithm to simultaneously estimate the missing data and unknown parameter(s) associated with a data set. The parameters describe the component distributions of the mixture; the distributions may be continuous or discrete.

The editors provide a complete account of the applications, mathematical structure and statistical analysis of finite mixture distributions along with MCMC computational methods, together with a range of detailed discussions covering the applications of the methods and features chapters from the leading experts on the subject. The applications are drawn from scientific discipline, including biostatistics, computer science, ecology and finance. This area of statistics is important to a range of disciplines, and its methodology attracts interest from researchers in the fields in which it can be applied.

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