Published

2006-01-01

EL DOBLE ANÁLISIS EN COMPONENTES PRINCIPALES PARA DATOS CATEGÓRICOS Y SU APLICACIÓN EN UN ESTUDIO DE MIGRACIÓN

DOUBLE PRINCIPAL COMPONENTS ANALYSIS FOR CATEGORICAL DATA AND ITS APPLICATION TO A MIGRATION STUDY

Keywords:

Doble análisis en componentes principales, datos categóricos, estructura común (es)
Double principal component analysis, Categorical data, Common structure (en)

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Authors

  • Raúl Alberto Pérez Universidad Nacional de Colombia Sede Medellín
  • Lydia Lera ICIMAT / Universidad de Chile / INTA
  • Ana Boquet Instituto de Planificación Física
Se hace una adaptación del método doble análisis en componentes principales (DACP) (Bouroche 1975), creado para el análisis de datos cuantitativos de tipo cúbico, a datos categóricos mediante la utilización de la distancia Chi-cuadrado entre perfiles fila y columna de una tabla de contingencia y se realiza una aplicación a un estudio de migración interna en Cuba.
We adapted the double principal component analysis (DACP) (Bouroche 1975), developed for the analysis of three-dimensional quantitative data, to categorical data by mean of the Chi-squared distance between rows and columns profile of a contingency table and we carry out an application to a study of internal migration in Cuba.

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How to Cite

Pérez, R. A., Lera, L., & Boquet, A. (2006). DOUBLE PRINCIPAL COMPONENTS ANALYSIS FOR CATEGORICAL DATA AND ITS APPLICATION TO A MIGRATION STUDY. Revista Colombiana De Estadística, 29(1), 17-34. https://revistas.unal.edu.co/index.php/estad/article/view/29042

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Copyright (c) 2006 Revista Colombiana de Estadística

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