Optimal designs for additive mixture model with heteroscedastic errors

Fei Yan, Chongqi Zhang and Heng Peng

Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 13, 6401-6411

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.

Date: 2017
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DOI: 10.1080/03610926.2015.1129414

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