Mixtures by Kerrie L Mengersen
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.Kerrie L. Mengersen, Queensland University of Technology, Australia.
Christian P. Robert, Universite Paris-Dauphine, France.
D. Michael Titterington, University of Glasgow, Scotland.
| SKU | Unavailable |
| ISBN 13 | 9781119993896 |
| ISBN 10 | 111999389X |
| Title | Mixtures |
| Author | Kerrie L Mengersen |
| Series | Wiley Series In Probability And Statistics |
| Condition | Unavailable |
| Publisher | John Wiley & Sons Inc |
| Year published | 2011-05-06 |
| Number of pages | 330 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |