Finite mixture and Markov switching models
The prominence of finite mixture modelling is greater than ever. Many important statistical topics like clustering data, outlier treatment, or dealing with unobserved heterogeneity involve finite mixture models in some way or other. The area of potential applications goes beyond simple data analysis...
Enregistré dans:
| Auteur principal: | Frühwirth-Schnatter, Sylvia |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
New York, NY :
Springer New York : Springer e-books
[20..].
Cham : Springer Nature |
| Collection: | Springer Series in Statistics
|
| Sujets: | |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Description d'après consultation du 25 mars 2011 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Finite mixture and Markov switching models, Sylvia Frühwirth-Schnatter, 2006, New York, Springer, 1 volume (xix-492 pages), Springer series in statistics, 0-387-32909-9 |
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