Multinomial logit analysis is a statistical technique for relating a set of continuous or discrete
independent variables to a categorical dependent variable. The availability of statistical …

Publisher Summary This chapter focuses on the General Logit Model. In many practical
situations, it may be acceptable to retain the normal mixture assumption for a subset of the …

In the present paper, it is shown how to perform estimation of the random effects multinomial
logit model in the SAS program. Inference in the random effects multinomial logit model is …

The aim of the manual is to introduce a computer program designed to (1) estimate the
coefficients of a basic multinomial logit model, and (2) provide suitable output such as …

This paper provides some simple methods of interpreting the coefficients in multinomial logit
and ordered logit models. These methods are summarized in Propositions concerning the …

The multinomial logit model is used to study the dependence relationship between a
categorical response variable with more than two categories and a set of explicative …

Logit Modeling represents a breakthrough for researchers because it offers ways for more
efficient estimation of models with multiple categorical variables, particularly whenever the …

This article develops a straightforward approach to the interpretation of the parameters in log-
linear models through a detailed consideration of examples. The focus is on models …

Objective. Researchers have suggested a number of different methods for interpreting the
coefficients in a logit model. Unfortunately, many of these interpretations suffer from a lack …

Das vorliegende Lehrbuch gibt eine systematische Darstellung der statistischen
Datenanalyse unter Verwendung eines speziellen Statistik-Modells: des sogenannten Logit …