21. NLOGIT is a full information maximum likelihood estimator for a variety of multinomial choice models. 22. The inference tools for hypothesis testing include the IIA assumption of the multinomial logit model. 23. This model is then optimized using a customized multinomial probit approach with a Gibbs sampler. 24. Visualising multinomial opinions can be challenging. 25. Using multinomial regression on the sales data however will not tell us what we want to know. 26. :Oh I see, yes thanks it is just the multinomial with irrelevant bits chopped out. 27. After using the multinomial theorem ( twice the outermost application is the binomial theorem ) and regrouping, 28. In the two cases, the result is a multinomial distribution with " k " categories. 29. Some authors have extended multinomial regression to include feature selection / importance methods such as random multinomial logit. 30. Some authors have extended multinomial regression to include feature selection / importance methods such as random multinomial logit.
