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 Annals of Statistics, Vol. 17, No. 4 (Dec., 1989), pp. 1567-1596 (30 pages) A data dependent method of estimating a regression function is proposed here. The model is allowed to be heteroscedastic ...

This section illustrates how to solve some ordinary least-squares problems and generalizations of those problems by formulating them as transformation regression problems. One problem involves finding ...