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Title: Optimal designs for mixed responses with qualitative and quantitative explanatory variables Authors:  MingHung Kao - Arizona State University (United States) [presenting]
Abstract: The focus is on optimal designs for experiments where possibly correlated bivariate responses of mixed data types are collected from each experimental subject. Mixed response regression models that involve both qualitative and quantitative explanatory variables are considered for jointly modeling the bivariate responses, and some results on locally optimal designs for such a model are derived. An efficient computer algorithm is also proposed to obtain optimal designs for such experiments.