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binary logit modelの例文

例文モバイル版携帯版

  • An extension of the binary logit model to cases where the dependent variable has more than 2 categories is the multinomial logit model.
  • 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.
  • 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.