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Latent class models for mixed outcomes with applications in archaeometry

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

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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
Library of Congress subject classification: Q Science > QA Mathematics
H Social Sciences > HA Statistics
Sets: Departments > Statistics
Rights: http://www.lse.ac.uk/library/usingTheLibrary/academicSupport/OA/depositYourResearch.aspx
Date Deposited: 23 Jun 2008 15:52
URL: http://eprints.lse.ac.uk/5412/

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