JSTOR Daily

Computer-Aided Calibration Methodology for Spark Advance Control Using Engine Cycle Simulation and Polynomial Regression Analysis

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 ...
JSTOR Daily

Maximum Likelihood Estimation of a Polynomial Regression Function with Grouped Data

Journal of the Royal Statistical Society. Series C (Applied Statistics) When the data in a polynomial regression problem come in grouped form, finding the maximum likelihood estimates of the ...
Ars Technica

Polynomial Regression Program

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 ...
Massey University

Regression Modelling

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 ...
Simon Fraser University

Polynomial Regression

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 ...