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Ciencia e Ingeniería Neogranadina
versión impresa ISSN 0124-8170versión On-line ISSN 1909-7735
Resumen
LOPEZ OSPINA, Héctor Andrés y LOPEZ OSPINA, Rafael David. GOAL OPTIMIZATION MODELS FOR THE ESTIMATORS CALCULUS IN MULTIPLE REGRESSION PROBLEMS. Cienc. Ing. Neogranad. [online]. 2010, vol.20, n.1, pp.133-157. ISSN 0124-8170.
This introductory work shows several multiple regression models and their relevant development as a problem of goal programming (eliminar...optimization by goals). It describes the median regression, weighted median regression, quantile regression, weighted quantile regression, and minimax formulation models. Furthermore, describes their dual formulation. We describe some simple examples to explain the concepts developed and applications of such models on engineering and sciences.
Palabras clave : multiple regression models; goal programming; quantile regression; minimax optimization; constrained regression.