By contrast, nonlinear regression analysis or nonlinear least-squares fitting (NLSF) refers to equations that are nonlinear in their parameters.

Relative importance of regressor variables is an old topic that still awaits a satisfactory solution. When interest is in attributing importance in linear regression, averaging over orderings methods ...

This study examines the properties of the linear probability difference-indifferences estimator when the data are in fact generated by a single-decrement, continuous-time hazard process. We focus on ...