The authors argue that for the cross-sectional multiattribute approach to choice modeling, the multinomial logit is theoretically and empirically superior to the more commonly used regression approach ...

We investigate the use of a canonical version of a discrete choice model due to Daganzo (1979) [Daganzo C (1979) Multinomial Probit: The Theory and Its Application to Demand Forecasting (Academic ...

This paper describes a model based approach to producing small area estimates of counts for different categories of the Australian labour force based on a multinomial logit mixed model with category ...

In this paper, we study the estimation of preferences under a multinomial logit (MNL) model of demand when customers arrive over time in accordance to a non-homogeneous Poisson process. This model has ...

One strategy for managing small business provider load is to ask small businesses for a reduced set of data items and then use synthetic estimation techniques to estimate totals for those data items ...

This paper aims to study the impact of individuals and trip characteristics on transport mode choice by applying the multinomial logit model, one of the most relevant categorical data analysis methods ...

Topics include metric and nonmetric conjoint analysis, orthogonal and nonorthogonal experimental designs, data collection and manipulation, holdouts, brand by price interactions, maximum utility and ...