A-optimal designs for mixture central polynomial model with qualitative factors

Zhibin Zhu, Guanghui Li and Chongqi Zhang

Communications in Statistics - Theory and Methods, 2019, vol. 48, issue 10, 2345-2355

Abstract: Mixture central polynomial models with qualitative factors are widely applied in many fields of research. In this paper, a method of finding A-optimal design for two degree mixture central polynomial model with qualitative factors will be proposed. The variance function will be given for getting the support points of the design. The A-optimality is confirmed by the equivalence theorem. In addition, this method also works effectively with higher degree models.

Date: 2019
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DOI: 10.1080/03610926.2018.1472783

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