Moustaki, Irini and Papageorgiou, Ioulia (2004) Latent class models for mixed outcomes with applications in archaeometry. Computational Statistics and Data Analysis, 48 (3). pp. 659-675. ISSN 0167-9473
Full text not available from this repository.Abstract
Latent class models are used in social sciences for classifying individuals or objects into distinct groups/classes based on responses to a set of observed indicators. The latent class model for mixed binary and metric variables (Br. J. Math. Statist. Psych. 49 (1996) 313) is extended to accommodate any type of data (including ordinal and nominal) and its use in Archaeometry for classifying archaeological findings/objects into groups is discussed. The models proposed are estimated using a full maximum like-lihood with the EM algorithm. Two data sets from archaeological findings are used to illustrate the methodology.
| Item Type: | Article |
|---|---|
| Official URL: | http://www.elsevier.com/locate/csda |
| Additional Information: | © 2004 Elsevier |
| Divisions: | Statistics |
| Subjects: | Q Science > QA Mathematics H Social Sciences > HA Statistics |
| Date Deposited: | 23 Jun 2008 15:52 |
| Last Modified: | 13 Feb 2024 02:42 |
| URI: | http://eprints.lse.ac.uk/id/eprint/5412 |
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