Selective editing as a stochastic optimization problem

Autores: Ignacio Arbués, Margarita González, Pedro Revilla Novella
Localización: BEIO, Boletín de Estadística e Investigación Operativa, ISSN 1889-3805, Vol. 25, Nº. 1, 2009, págs. 32-41
Idioma: inglés
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Resumen
- In this paper, we approach the problem of selective editing by proposing a formal denition of selection strategy. Using this denition, the search for an ecient selective editing method can be expressed as an optimization problem with stochastic constraints. We show how to solve this problem by duality methods. We also present the results of a practical application.