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.