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http://dx.doi.org/10.5351/KJAS.2015.28.1.093

Two-Stage Experimental Design for Multiple Objectives  

Jang, Dae-Heung (Department of Statistics, Pukyong National University)
Kim, Youngil (School of Business and Economics, ChungAng University)
Publication Information
The Korean Journal of Applied Statistics / v.28, no.1, 2015 , pp. 93-102 More about this Journal
Abstract
The D-optimal design for the nonlinear model typically depends on the unknown parameters to be estimated. Therefore, it is strongly recommended in literature to use a sequential experimental design for estimating the parameters. In this paper two stage experimental design is discussed under many different circumstances including estimating parameters. The method is so universal to be applied to any mixture of objectives for any model including linear model. A hybrid approach is suggested to handle more than 2 objectives in two-stage experimental design. The design is discussed in approximate design framework.
Keywords
D-optimal design; sequential experimental design; two-stage experimental design;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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