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.
- ISBN13 9781119998457
- Publish Date 3 May 2011 (first published 23 March 2011)
- Publish Status Out of Print
- Out of Print 16 October 2014
- Publish Country US
- Imprint John Wiley & Sons Inc
- Edition 1st edition
- Format eBook
- Pages 330
- Language English
- URL http://wiley.com