Strategical Issues in Multiple-Objective Optimal Experimental Design

Title & Authors
Strategical Issues in Multiple-Objective Optimal Experimental Design
Kim Young-Il; Kahng Myung-Wook;

Abstract
Many of statistical experimental designs have multiple goals. It is often impractical to use the single-objective criterion for this purpose. It is necessary to modify the existing optimum experimental design criteria. There exist three criteria handling this problem in general: compound, constrained, maxi-min approach. This paper extends Kahng and Kim's idea to develop another approach to incorporate several experimental design criteria in accordance of their importance in practical way. Furthermore this paper investigate its relationship with the maxi-min approach. It shows logically that the often realized infeasibility can be still avoided with the rank of importance of the objectives intact.
Keywords
$\small{{\Phi}}$-optimality;Compound design;Constrained design;maxi-min design;
Language
Korean
Cited by
1.
Hybrid Approach When Multiple Objectives Exist,;;

Communications for Statistical Applications and Methods, 2007. vol.14. 3, pp.531-540
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