(2024). Optimal designs for probability-based optimality, parameter estimation and model discrimination. test, 25(2), 212-215. doi: 10.1016/j.joems.2017.01.002
. "Optimal designs for probability-based optimality, parameter estimation and model discrimination". test, 25, 2, 2024, 212-215. doi: 10.1016/j.joems.2017.01.002
(2024). 'Optimal designs for probability-based optimality, parameter estimation and model discrimination', test, 25(2), pp. 212-215. doi: 10.1016/j.joems.2017.01.002
Optimal designs for probability-based optimality, parameter estimation and model discrimination. test, 2024; 25(2): 212-215. doi: 10.1016/j.joems.2017.01.002

Optimal designs for probability-based optimality, parameter estimation and model discrimination

Journal of the Egyptian Mathematical Society
Volume 25, Issue 2, 2017, Pages 212-215    PDF (270.49 K)
DOI: 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.
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