When fitting a linear regression model to data, the effects not included in the model can confound those included in the model, resulting in incorrect estimates of the regression coefficients and incorrect inferences as to whether a term is significant. This paper shows how uniform designs can reduce this aliasing. The discrepancy is a quantitative measure of how uniformly design points are pla...

singular perturbation problems have been studied by many mathematicians. since the approximate solutions of these problems are as the sum of internal solution (boundary layer area) and external ones, the formation or non-formation of boundary layers should be specified. this paper, investigates this issue for a singular perturbation problem including a first order differential equation with gen...