Binary data are widely used for spatial modeling and when inferences and predictions are to be derived. If a Generalized Linear Model (GLM) is applied, logit functions are often used. Here we show alternatives to the traditional logit approach using probit and the complementary log log link functions. We present a software-based approach and two methods of assessing which link function performs...

In this document we describe the Mixture EFA model estimated in Mplus. Four types of dependent variables are possible in this model: normally distributed, ordered categorical with logit or probit link, Poisson distributed with the exponential link function, and censored variables. Inflation is not available for the Censored and Poisson variables. Suppose that we estimate a K class model with M ...

In assignment models, a key role is played by the path choice simulation that evaluates chosen users in relation to perceived paths and relative costs. This study deals with effects of implementation some most adopted models (Logit, Weibit, Probit, Gammit) within Stochastic User Equilibrium procedure. Some considerations on parameters needed make results comparable method used estimate them are...

In traditional traffic assignment procedure, each traffic analysis zone is represented by one point in its geometric center which is connected to the network by several connectors. Results of studies show that different connector patterns would result up to 10% change in estimated volume and up to 20% change in total travel time. Also the different patterns of connectors can change the priority...

The use of logistic regression for outcome classification of dichotomous variables is well known in data mining applications. The estimated probability of the logit transformation belongs to the class of canonical link functions that follow from particular probability distribution functions. A closely related model is the probit link which can be used for binary responses. Although the probit l...

This paper estimates ordered logit and probit regression models for bank ratings which also include a country index to capture country-specific variation. The empirical findings provide support to the hypothesis that the individual international bank ratings assigned by Fitch Ratings are underpinned by fundamental quantitative financial analyses. Also, there is strong evidence of a country effe...

In this paper we introduce a new flexible mixed model for multinomial discrete choice where the key individualand alternative-specific parameters of interest are allowed to follow an assumptionfree nonparametric density specification while other alternative-specific coefficients are assumed to be drawn from a multivariate normal distribution which eliminates the independence of irrelevant alter...