JSTOR Daily

A Maximum Entropy Approach to Recovering Information From Multinomial Response Data

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) ...
JSTOR Daily

An Empirical Bayes Procedure for Improving Individual-Level Estimates and Predictions from Finite Mixtures of Multinomial Logit Models

Unobserved heterogeneity in random utility choice models can be dealt with by specifying either a multinomial or a normal distribution of the coefficients, leading to finite mixture logit and mixed ...
Kellogg School of Management

Demand Estimation under the Multinomial Logit Model from Sales Transaction Data

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.
UMass Lowell

Catalog : CRIM.7900 Categorical and Limited Dependent Variables (Formerly CRIM 790)

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 ...
Simon Fraser University

Example 29.4: Ordinal Model for Multinomial Data

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 ...
Simon Fraser University

SAS Technical Report R-109, Conjoint Analysis Examples

Describes performing conjoint analysis in the SAS System with the TRANSREG procedure. Topics include metric and nonmetric conjoint analysis, orthogonal and nonorthogonal experimental designs, data ...