The classical maximum entropy (ME) approach to estimating the unknown parameters of a multinomial discrete choice problem, which is equivalent to the maximum likelihood multinomial logit (ML) ...

Citations: Abdallah, Tarek, Gustavo Vulcano. 2021. Demand Estimation under the Multinomial Logit Model from Sales Transaction Data. Manufacturing and Service Operations Management. (5)1196--1216.

We investigate the use of a canonical version of a discrete choice model due to Daganzo (1979) [Daganzo C (1979) Multinomial Probit: The Theory and Its Application to Demand Forecasting (Academic ...

This type of model applies to cases where an observation can fall into one of k categories. Binary data occurs in the special case where k=2. If there are m i observations in a subpopulation i, then ...

The estimation of empirical models is essential to public policy analysis and social science research. Ordinary Least Squares (OLS) regression analysis is the most frequently used empirical model, and ...

This example illustrates how you can use the GENMOD procedure to fit a model to data measured on an ordinal scale. The following statements create a SAS data set called icecream. The data set contains ...