Kerrie Mengersen, Christian Robert, Mike Titterington

Mixtures (eBook, PDF)

Estimation and Applications

• Format: PDF

Produktbeschreibung

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 336
• Erscheinungstermin: 24. März 2011
• Englisch
• ISBN-13: 9781119995685
• Artikelnr.: 38260665

Autorenporträt

Kerrie L. Mengersen, Queensland University of Technology, Australia. Christian P. Robert, Universite Paris-Dauphine, France. D. Michael Titterington, University of Glasgow, Scotland.