binary logit model 예문

예문

1. An extension of the binary logit model to cases where the dependent variable has more than 2 categories is the multinomial logit model.
2. It immediately becomes clear that this set up is very similar to the binary logit model, with that difference that the variable can actually take on values in the unit interval.
3. Many of the estimation techniques for the binary logit model, such as non-linear least squares and quasi-MLE, carry over in a natural way, just like heteroskedasticity adjustments and partial effects calculations.