Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...

For empirical implementation of the Cobb-Douglas function, it is customary to append a multiplicative lognormal disturbance and fit a linear regression in the logarithmic variables. When this is done, ...

We investigate the extension of the nonparametric regression technique of local polynomial fitting with a kernel weight to generalized linear models and quasi-likelihood contexts. In the ordinary ...