The purpose of this article is to set up some apparently acceptable axioms about rational choices in situations, where each alternative decision has an infinite number of sure outcomes which occur ...

Traditional sensitivity analysis in linear programming usually focuses on variations of one coefficient or term at a time. The tolerance approach was proposed to provide a decision maker with an ...

Linear mixed models are increasingly used for the analysis of genome-wide association studies (GWAS) of binary phenotypes because they can efficiently and robustly account for population ...

In linear programming, the objective function is the function that it is desired to maximize or minimize. The human interaction equivalent is what matters most. Agreement on that, and on the steps to ...