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 ...

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 ...

This is a preview. Log in through your library . Abstract Local polynomial regression is commonly used for estimating regression functions. In practice, however, with rough functions or sparse data, a ...

The short course will illustrate how to use JMP in linear regression analysis. The three main topics will be: Exploratory data analysis, simple liner regression and polynomial regression How to fit a ...

Regression models predict outcomes like housing prices from various inputs. Machine learning enhances regression by analyzing large, complex datasets. Different regression types address varied data ...