Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Cited by Google
- Similars in SciELO
- Similars in Google
Share
Revista Colombiana de Estadística
Print version ISSN 0120-1751
Abstract
LOPEZ QUINTERO, FREDDY OMAR and BORGES PENA, RAFAEL EDUARDO. An Application of Hierarchical Method of Mixtures for the Classification of the Venezuelan Counties using Socioeconomic Variables. Rev.Colomb.Estad. [online]. 2009, vol.32, n.2, pp.231-245. ISSN 0120-1751.
In this work, we present an application of the method proposed by Fraley & Raftery (2002) to obtain groups of Venezuelan counties, using the information of socio-economic variables. The variables considered in the application includes some aspects related with the families that live in counties, such as occupation of its members, education, demographic aspects and others. For the analysis, we use the first six principal components taken from a previous analysis. A classification on nine groups was obtained, and the difference between these groups was influenced by the socioeconomic status, the access to some basic services and quality of life.
Keywords : Bayes factor; Cluster analysis; EM algorithm; Mixture models.