The authors compare the application of two logit models for the analysis of qualitative marketing data. A weighted least squares logit model is compared with a maximum likelihood logit model different ...

For the analysis of multivariate categorical longitudinal data, we propose an extension of the dynamic logit model. The resulting model is based on a marginal parameterization of the conditional ...

Drawing Inferences from Logit Models for Panel Data: An Empirical Analysis of the Consumer Packaged Goods Market. Applied Stochastic Models in Business and Industry. (2)127-145.

The multinomial logit model in the context of the Luce choice axiom implies that the logarithm of the ratio of choice probabilities (the log odds ratio) of two objects depends only on the attributes ...

Logistic regression models everything on the log odds scale (this is done using the logit function), which means taking the logarithm of the odds in each of the two explanatory groups and of the odds ...