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2009-07-01
UNA APLICACIÓN DEL MÉTODO JERÁRQUICO DE MEZCLAS PARA LA CLASIFICACIÓN DE LOS MUNICIPIOS VENEZOLANOS SEGÚN VARIABLES SOCIOECONÓMICAS
AN APPLICATION OF HIERARCHICAL METHOD OF MIXTURES FOR THE CLASSIFICATION OF THE VENEZUELAN COUNTIES USING SOCIOECONOMIC VARIABLES
Keywords:
factor de Bayes, análisis de conglomerados, algoritmo EM, modelos mezclados (es)Bayes factor, Cluster analysis, EM algorithm, Mixture models (en)
En este trabajo se presenta una aplicación del método propuesto por Fraley & Raftery (2002) para la obtención de grupos de municipios de Venezuela a partir de un conjunto de variables socioeconómicas. Las variables consideradas miden aspectos del hogar de las familias que viven en los municipios, la ocupación de sus miembros, la educación, aspectos demográficos, entre otros. Como datos de entrada, se decidió tomar los primeros seis componentes principales de un análisis previo realizado a estos datos. Se obtuvieron nueve grupos diferenciados entre sí marcando, principalmente, diferencias en el estatus social, en el acceso a algunos servicios, y la calidad de vida en general.
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.
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Copyright (c) 2009 Revista Colombiana de Estadística
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