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- W2068322131 abstract "Binary response experiments are common in scientific studies. However, the study of optimal designs in this area is in a very underdeveloped stage. Sitter and Torsney (1995a) studied optimal designs for binary response experiments with two design variables. In this paper, we consider a general situation with multiple design variables. A novel approach is proposed to identify optimal designs for the commonly used multi-factor logistic and probit models. We give explicit formulas for a large class of optimal designs, including D-, A-, and E-optimal designs. In addition, we identify the general structure of optimal designs, which has a rela- tively simple format. This property makes it feasible to solve seemingly intractable problems. This result can also be applied in a multi-stage approach." @default.
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- W2068322131 date "2011-06-01" @default.
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- W2068322131 title "Optimal designs for generalized linear models with multiple design variables" @default.
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- W2068322131 doi "https://doi.org/10.5705/ss.2009.115" @default.
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