Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Strategical Issues in Multiple-Objective Optimal Experimental Design

  • Kim Young-Il (Department of Information System, ChungAng University) ;
  • Kahng Myung-Wook (Department of Statistics, Sookmyung Women's University)
  • Published : 2006.04.01
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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.

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References

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