Approximate Local D-optimal Experimental Design for Binary Response
A fast and simple method is proposed that produces approximate multivariate local D-optimal designs of high efficiency for models with binary response. The method assumes availability of a D-optimal design for a parallel normal response linear problem that has the same linear predictor, with an assumption of homogenous variance; the change required to transform the standard design into an efficient one for a multivariate logit or probit model is to shift any design point whose probability is very low or very high (and is therefore non-informative) into the nearest feasible point of moderate probability.
Generalized Linear Models Logistic Response Logit Probit Design of Experiments
Hovav A. Dror David M. Steinberg
Department of Statistics and Operations Research Raymond and Beverly Sackler Faculty of Exact Sciences Tel Aviv University Ramat Aviv 69978 Israel
国际会议
2006 International Conference on Design of Experiments and Its Applications(2006实验设计及其应用国际会议)
天津
英文
2006-07-09（万方平台首次上网日期，不代表论文的发表时间）