Linear forecasting models can be used in both types of forecasting methods. In the case of causal methods, the causal model may consist of a linear regression with several explanatory variables.

This paper compares two methods of estimating LGD: a beta regression model and a multinomial logit (MNL) model. The authors' calculations were conducted for overdrafts of small and medium-sized ...

US FDA requires the correlation coefficient, Y-intercept, slope of the regression line, and residual sum of squares in the analytical report. Often analysts get confused with the residual sum of ...

For a given number of variables in the model, the MAXR and MINR methods usually produce the same "best" model, but the MINR method considers more models of each size. R 2 Selection (RSQUARE) The ...

ABSTRACT. This paper illustrates the validation of a mortgage prepayment forecasting model using a dynamic bivariate-choice regression method. The results demonstrate that the dynamic bivariate-choice ...