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

In this paper, a new compound optimality criterion will be introduced. This criterion called PDKL-optimality. 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 PDKL-optimality criterion.