In this paper D-optimal designs for the weighted polynomial regression model of degree p with efficiency function (1 + x 2)-n are presented. Interest in these designs stems from the fact that they are ...

Statistical texts differ in the ways they test the significance of coefficients of lower-order terms in polynomial regression models. One reason for this difference is probably the concern of some ...

Consider a response variable Y that can be predicted by a polynomial function of a regressor variable X. You can estimate , the intercept, , the slope due to X, and , the slope due to X 2, in for the ...

The kernel estimator fits a local mean at each point x and thus cannot even estimate a line without bias (Cleveland, Cleveland, Devlin and Grosse 1988). An estimator based on locally-weighted ...

Common data analysis and regression techniques for application in science, business and social science. Topics include simple and multiple regression; linear models with categorical explanatory ...

EDIT: Updated with working code.<BR><BR>I am porting a polynomial regression program (originally in C++ 6) to VB.NET 2003 for use in another project. However, I'm having some slight difficulties. When ...