A Note on Log-Linear Regression
关于对数线性回归的一则说明
This paper presents a reparameterization of the conventional loglinear regression model. This reparameterization is shown to be more reasonable than the conventional specification. The stochastic assumptions of this reparameterized model are derived from the expected value properties of the dependent variable. Comparison with the conventional method of fitting log-linear models shows the regression intercept and the variance of the regression intercept to be different. A…