Asymptotic Normality of the Optimal Solution in Multiresponse Surface Mathematical Programming
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Faculty of Social Sciences, University of Ljubljana
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Descripción
An explicit form for the perturbation effect on the matrix of regression coeffi- cients on the optimal solution in multiresponse surface methodology is obtained in this paper. Then, the sensitivity analysis of the optimal solution is studied and the critical point characterisation of the convex program, associated with the optimum of a multiresponse surface, is also analysed. Finally, the asymptotic normality of the optimal solution is derived by the standard methods.
Palabras clave
Asymptotic normality, Multiresponse surface optimisation, Sensitivity analysis, Mathematical programming
Citación
Díaz-García, J. A., & Caro-Lopera, F. J. (2015). Asymptotic Normality of the Optimal Solution in Multiresponse Surface Mathematical Programming. Metodoloski Zvezki, 12(1), 11-24
