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http://dx.doi.org/10.5351/CKSS.2012.19.1.065

Hybrid Constrained Extrapolation Experimental Design  

Kim, Young-Il (Division of Business Administration, ChungAng University)
Jang, Dae-Heung (Department of Statistics, PuKyung University)
Publication Information
Communications for Statistical Applications and Methods / v.19, no.1, 2012 , pp. 65-75 More about this Journal
Abstract
In setting an experimental design for the prediction outside the experimental region (extrapolation design), it is natural for the experimenter to be very careful about the validity of the model for the design because the experimenter is not certain whether the model can be extended beyond the design region or not. In this paper, a hybrid constrained type approach was adopted in dealing model uncertainty as well as the prediction error using the three basic principles available in literature, maxi-min, constrained, and compound design. Furthermore, the effect of the distance of the extrapolation design point from the design region is investigated. A search algorithm was used because the classical exchange algorithm was found to be complex due to the characteristic of the problem.
Keywords
Extrapolation design; model uncertainty; constrained design; compound design; maximin design; genetic algorithm;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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