JSTOR Daily

Integrating the Dirichlet-Multinomial and Multinomial Logit Models of Brand Choice

This paper discusses the interpretative benefits that arise from merging the Dirichlet- multinomial (DM) model as a loyalty variable in the multinomial logit (MNL) model of brand choice. The estimated ...
JSTOR Daily

Identifying Response Styles: A Latent-Class Bilinear Multinomial Logit Model

Respondents can vary strongly in the way they use rating scales. Specifically, respondents can exhibit a variety of response styles, which threatens the validity of the responses. The purpose of this ...
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.
IEEE

38 Human Activity Recognition Using Multinomial Logistic Regression

Abstract: Model Validation and Uncertainty Quantification, Volume 3. Proceedings of the 33rd IMAC, A Conference and Exposition on Balancing Simulation and Testing, 2015, the third volume of ten from ...
Australian Bureau of Statistics

1352.0.55.044 - Research Paper: Using the Multinomial Logistic Regression Model to Construct Design-based Estimates for the Input-Output Survey via an Estimating Equation ...

One strategy for managing small business provider load is to ask small businesses for a reduced set of data items and then use synthetic estimation techniques to estimate totals for those data items ...
IEEE

Evaluation of the Dirichlet Process Multinomial Mixture Model for Short-Text Topic Modeling

Abstract: Fast-moving trends, both in society and in highly competitive business areas, call for effective methods for automatic analysis. The availability of fast-moving sources in the form of short ...