Modified Robust Design Criteria for Poisson Mixed Models

Hongyan Jiang () and Rongxian Yue ()
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Hongyan Jiang: Huaiyin Institute of Technology
Rongxian Yue: Shanghai Normal University, College of Mathematics and Science

Chapter Chapter 9 in Contemporary Experimental Design, Multivariate Analysis and Data Mining, 2020, pp 145-161 from Springer

Abstract: Abstract The maximin D-optimal design (MMD-optimal design) and hypercube design (HCD-optimal design) are two robust designs which overcome the problem of design dependence on the unknown parameters. This article considers the robust designs for Poisson mixed models. Given the prior knowledge of the fixed effects parameters, a modification of the two robust design criteria is proposed by applying the number-theoretic methods. The simulated annealing algorithm is used to find the optimal exact designs. The results show that the modified optimal designs perform better in the relative D-efficiency and programming time.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-46161-4_9

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DOI: 10.1007/978-3-030-46161-4_9

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