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Optimal designs for additive mixture model with heteroscedastic errors
Authors:Fei Yan  Heng Peng
Affiliation:1. Department of Statistics, Guangzhou University, Guangzhou, China;2. Department of Mathematics, Hong Kong Baptist University, Kowloon Tong, Hong Kong
Abstract:This paper presents a study of D- and A-optimality of direct sum designs for additive mixture models when the errors are heteroscedastic. Sufficient conditions are given so that D- and A-optimal designs for additive mixture models can be constructed from the D- and A-optimal designs for homogeneous models in sub-mixture systems.
Keywords:A-optimality  additive mixture models  D-optimality  direct sum design  heteroscedasticity  mixture experiments.
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