Optimal designs for probability-based optimality, parameter estimation and model discrimination
http://dx.doi.org/10.1016/j.joems.2017.01.002
Abstract
In this paper, a new compound optimality criterion will be introduced. This criterion called PDKLoptimality. The proposed criterion aimed to introduce designs satisfy maximum probability of success, efficient parameter estimation and true model. An equivalence theorem is stated and proved for PDKLoptimality criterion.
(2024). Optimal designs for probability-based optimality, parameter estimation and model discrimination. Journal of the Egyptian Mathematical Society, 25(2), 212-215. doi: http://dx.doi.org/10.1016/j.joems.2017.01.002
MLA
. "Optimal designs for probability-based optimality, parameter estimation and model discrimination". Journal of the Egyptian Mathematical Society, 25, 2, 2024, 212-215. doi: http://dx.doi.org/10.1016/j.joems.2017.01.002
HARVARD
(2024). 'Optimal designs for probability-based optimality, parameter estimation and model discrimination', Journal of the Egyptian Mathematical Society, 25(2), pp. 212-215. doi: http://dx.doi.org/10.1016/j.joems.2017.01.002
VANCOUVER
Optimal designs for probability-based optimality, parameter estimation and model discrimination. Journal of the Egyptian Mathematical Society, 2024; 25(2): 212-215. doi: http://dx.doi.org/10.1016/j.joems.2017.01.002
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