Initial studies were designed to determine the optimal testing conditions for subsequent drug studies.
Notably, even with the benefit of perfect hindsight, barely half of these optimal test runs made it back.
Optimal testing strategies have not been described.
In addition, optimal testing parameter for cutting times was determined.
It is shown that in some cases the optimal test profile is Markovian, whereas in some other cases the optimal test profile demonstrates a different scenario.
Nearly Optimal Tests When a Nuisance Parameter is Present Under the Null Hypothesis (with Graham Elliott and Ulrich Müller) Econometrica, Vol. 83, Issue 2, March 2015, pp. 771-811.
Such a study is useful when studying optimal testing time or testing resource allocation.
The optimal test conditions for desulfarization are extracted from the Design-Expert 6.0 software.
The confirmation of experiment was conducted to verify the optimal testing parameter.
The new DPG method is designed following the previously established principles of optimal test functions.
