Most of the research on optimal designs concentrates on D-optimal designs for linear and nonlinear models with fixed effects. Recently nonlinear models with random effects have been of great attention because these models are more applicable to describing real data. In this paper, E-optimal designs for the Poisson regression with random effects have been considered. A new version of the equivalence theorem is prepared for this criterion in the Poisson regression model with random effects.
Niaparast, M., Mehr Mansour, S., & Zangenehmehr, A. (2023). E-optimal designs for Poisson regression models with random coefficients. Journal of Statistical Modelling: Theory and Applications, 4(1), 147-156. doi: 10.22034/jsmta.2024.21256.1130
MLA
Mehrdad Niaparast; Sahar Mehr Mansour; Akram Zangenehmehr. "E-optimal designs for Poisson regression models with random coefficients", Journal of Statistical Modelling: Theory and Applications, 4, 1, 2023, 147-156. doi: 10.22034/jsmta.2024.21256.1130
HARVARD
Niaparast, M., Mehr Mansour, S., Zangenehmehr, A. (2023). 'E-optimal designs for Poisson regression models with random coefficients', Journal of Statistical Modelling: Theory and Applications, 4(1), pp. 147-156. doi: 10.22034/jsmta.2024.21256.1130
VANCOUVER
Niaparast, M., Mehr Mansour, S., Zangenehmehr, A. E-optimal designs for Poisson regression models with random coefficients. Journal of Statistical Modelling: Theory and Applications, 2023; 4(1): 147-156. doi: 10.22034/jsmta.2024.21256.1130
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