Discrete choice models, like the multinomial logit (MNL), have long been recognized for their ability to capture a wide array of transport-related choice phenomena. However, a number of choices are continuous response variables (e.g., location choice, departure time choice, activity duration, and vehicle usage). In this paper, the continuous cross-nested logit (CCNL) model is introduced. The CC...

The study assessed the effects of agricultural practices on biodiversity in Olamaboro Local Government Are of Kogi State, Nigeria. One hundred and fifty (150) farmers (respondents) were sampled using simple random sampling technique from five council wards (30 farmers per council ward). Data collected were analyzed using descriptive statistics and Logit regression model. Results showed that 63%...

An ordinal measure of effect size is a simple and useful way to describe the difference between two ordered categorical distributions. This measure summarizes the probability that an outcome from one distribution falls above an outcome from the other, adjusted for ties. We develop and compare confidence interval methods for the measure. Simulation studies show that with independent multinomial ...

The probability distributions that statistical methods use to represent uncertainty fail capture all of the may be relevant decision making. A simple way adjust for not represented in their models is average with a uniform distribution or another maximum uncertainty. decision-theoretic framework leads averaging by taking means logit transforms probabilities. That method does prevent convergence...

The generalized nested logit model is a new member of the generalized extreme value family of models. The GNL provides a higher degree of flexibility in the estimation of substitution or cross-elasticity between pairs of alternatives than previously developed generalized extreme value models. The generalized nested logit model includes the paired combinatorial logit and cross-nested logit model...

Monte Carlo evidence has shown that simple, misspeciøed discrete choice models for referendum contingent valuation data can lead to good estimates of mean willingness to pay (WTP). Empirical studies have found that estimates of mean WTP derived from simple parametric models often diœer little from those derived from nonparametric methods. This seems to indicate that simple models can yield WTP ...

This paper discusses the representability of discrete logit-type models including multinomial logit and nested logit model from a mathematical approach. It is shown that the logit-type models can be reconstructed from mathematical approximation theory with sigmoidal functions widely used in Neural Network modeling without the basic assumptions such as IIA and iid, and the distribution (or densi...