Factors Influencing the Incidence of Obesity in Australia: A Generalized Ordered Probit Model. [PDF]
Int J Environ Res Public Health, 2017 The increasing health costs of and the risks factors associated with obesity are well documented. From this perspective, it is important that the propensity of individuals towards obesity is analyzed. This paper uses longitudinal data from the Household Income and Labour Dynamics in Australia (HILDA) Survey for 2005 to 2010 to model those variables ...
Avsar G, Ham R, Tannous WK.
europepmc +5 more sources
Investigating safety and liability of autonomous vehicles: Bayesian random parameter ordered probit model analysis [PDF]
Journal of Intelligent and Connected Vehicles, 2022 Purpose – This study aims to investigate the safety and liability of autonomous vehicles (AVs), and identify the contributing factors quantitatively so as to provide potential insights on safety and liability of AVs.
Quan Yuan +3 more
doaj +3 more sources
Semi-nonparametric Estimation of Extended Ordered Probit Models [PDF]
The Stata Journal, 2004 This paper presents a semi-nonparametric estimator for a series of generalized models that nest the ordered probit model and thereby relax the distributional assumption in that model. It describes a new Stata command for fitting such models and presents an illustration of the approach.
Stewart, Mark B., Stewart, Mark B.
exaly +5 more sources
Ordered Choice Models: Ordinal Logit and Ordinal Probit [PDF]
Journal of Interdisciplinary Sciences, 2022 Classical ordinal logit and probit models are used in studies where the dependent variable is categorical and ordinal. In order to use these models, the assumption of parallel slopes must be met.
Öznur İşçi Güneri +2 more
doaj +1 more source
Prediction of Road Accident Severity Using the Ordered Probit Model
Transportation Research Procedia, 2014 AbstractThe ordered probit model is used to examine the contribution of several factors to the injury severity faced by motor-vehicle occupants involved in road accidents. The estimated results suggest that motor-vehicle occupants travelling in light-vehicles, at two-way roads, and on dry road surfaces tend to suffer more severe injuries than those who
Ana De Almeida
exaly +4 more sources
A model averaging approach for the ordered probit and nested logit models with applications
Journal of Applied Statistics, 2018 This paper considers model averaging for the ordered probit and nested logit models, which are widely used in empirical research. Within the frameworks of these models, we examine a range of model averaging methods, including the jackknife method, which is proved to have an optimal asymptotic property in this paper.
Alan T K Wan, Xinyu Zhang
exaly +2 more sources
Investigation on the Injury Severity of Drivers in Rear-End Collisions Between Cars Using a Random Parameters Bivariate Ordered Probit Model. [PDF]
Int J Environ Res Public Health, 2019 Chen F, Song M, Ma X.
europepmc +2 more sources
Exploring Factors Contributing to Crash Injury Severity at Al-Diwaniyh City Streets: Random Parameter Ordered Probit Model Technique [PDF]
E3S Web of Conferences, 2023 Traffic crashes are among the problems that affect societies because the losses caused by these crashes directly impact the citizen due to the psychological suffering it leaves.
Al-Gharabi Amjad H. +2 more
doaj +1 more source
Addressing Driving Actions of At-Fault Older Drivers: Bayesian Bivariate Ordered Probit Analysis
IEEE Access, 2021 This study aimed to examine the driving actions of at-fault older drivers, and investigate the interrelations between the unobservable factors. To reach the goal, a Bayesian bivariate ordered probit model was proposed, which addressed the driving actions
Daiquan Xiao +3 more
doaj +1 more source
Modeling individual migraine severity with autoregressive ordered probit models [PDF]
Statistical Methods & Applications, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Claudia Czado +2 more
openaire +5 more sources