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 ...

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 increasing number of controllable parameters in modern engine systems has led to increasingly complicated and enlarged engine control software. This in turn has created dramatic increases in ...

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 ...