Abstract Comparing the differences in outcomes (that is, “dependent variables”) between two subpopulations is often most informative when comparing only for individuals from who are similar according to “independent variables.” The independent variables generally known as “scores,” propensity scores matching or probabilities predicted by statistical machine-learned models, example. If discrete,...

We apply the equivalent theory to orthorhombic anisotropic materials and provide a general unit-cell design criterion for achieving a length-independent retrieval of the effective material parameters from a single layer of unit cells. We introduce a graphical retrieval method and phase unwrapping techniques. The graphical method utilizes the linear regression technique. Our method can reduce th...

In this paper, we present a graphical method for selection of a good model among the several competitive models for the same data set. The proposed method not only selects the model but also tests the equal prediction accuracy of the models. The results of the proposed method are compared with that of the model selection using Friedman test.