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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… (more)

Book Details  

Publisher: Wiley (May 02, 2011)

Collection: Wiley Series in Probability and Statistics

Format: EPUB

Page count: 330 pages

File size: 17 MB

Protection: DRM

Language: English

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