The measure is in the same spirit as Achen's (1982) "level importance" measure for linear models and thus fills an important gap in logit regression analysis. We show, on the basis of simulations and ...

Finite sample properties of the test are studied using a Monte Carlo experiment, and the test's power against the nested multinomial logit model and the multinomial probit model is investigated. The ...

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 ...

Course Topics"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count ...