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 previous method may be more familiar to statisticians when different notation is used. A linear model is usually written The following example illustrates the programming techniques involved in ...

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 ...

Following the comments by Moore and Zeigler on the analogy between the analysis of quantal responses and non-linear regression, the analogy between the former and linear weighted regression is ...