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

Controlling for overdispersion in grouped conditional logit models: A computationally simple application of Dirichlet-multinomial regression

In this article, we provide a random utility-based derivation of the Dirichlet-multinomial regression and propose it as a convenient alternative for dealing with overdispersed multinomial data. We ...
BMJ Global Health

Public preferences and decision-making for mpox vaccination in the African region: a multinational discrete choice experiment

Introduction After the WHO prequalified the first vaccine against mpox, we aimed to identify the influence of vaccine ...
technologynetworks

Logistic Regression

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...