Results 211 to 220 of about 172,160 (270)

Frequentist model averaging for multinomial and ordered logit models

International Journal of Forecasting, 2014
Abstract Multinomial and ordered Logit models are quantitative techniques which are used in a range of disciplines nowadays. When applying these techniques, practitioners usually select a single model using either information-based criteria or pretesting.
Alan T.K. Wan, Xinyu Zhang, Shouyang Wang   +2 more
openaire   +1 more source

Brief Research Report: A Monte Carlo Simulation Study of Small Sample Bias in Ordered Logit Model under Multicollinearity

Journal of Experimental Education, 2020
This study investigated the small sample biasness of the ordered logit model parameters under multicollinearity using Monte Carlo simulation. The results showed that the level of biasness associated with the ordered logit model parameters consistently ...
E. Aidoo, S. Appiah, A. Boateng
semanticscholar   +1 more source

Efficiency Gains in Rank‐ordered Multinomial Logit Models

Oxford Bulletin of Economics and Statistics, 2017
AbstractThis paper considers estimation of discrete choice models when agents report their ranking of the alternatives (or some of them) rather than just the utility maximizing alternative. We investigate the parametric conditional rank‐ordered Logit model. We show that conditions for identification do not change even if we observe ranking.
Arie Beresteanu, Federico Zincenko
openaire   +1 more source

An Ordered Logit Model for Predicting the Willingness of Renting Micro Mobility in Urban Shared Streets: A Case Study in Palermo, Italy

Communication Systems and Applications, 2020
Sustainable transport modes, particularly micro-mobility, allows to reduce possible congestion phenomena in urban traffic. In this study, the aim is to make a contribution to increase micro-mobility use by exploring the impacts of socio-demographic ...
T. Campisi, Nurten Akgün, G. Tesoriere
semanticscholar   +1 more source

Sequenced Ordered Logit Model Considering Latent Variables for Determining Trip Satisfaction of Metro Passengers

, 2020
Improving the public transportation system to compete with the private modes requires an understanding of passenger perceptions of the service quality (SQ).
Tara Saeidi, M. Mesbah, M. Habibian
semanticscholar   +1 more source

Incorporating spatio-temporal correlation and interaction into a generalized ordered logit model for examining injury severities of traffic accidents

Journal of Transportation Safety & Security
Spatio-temporal correlation and interaction are significant features of traffic accident data. To account for the spatio-temporal correlation and interaction and the ordinal nature simultaneously, spatio-temporal generalized ordered logit models with ...
Qiang Zeng, Ziyi Xu, Yitao Liang, Jaeyoung Lee, Xiaofei Wang   +4 more
semanticscholar   +1 more source

A note on the use of rank‐ordered logit models for ordered response categories

British Journal of Mathematical and Statistical Psychology, 2022
Abstract Models for rankings have been shown to produce more efficient estimators than comparable models for first/top choices. The discussions and applications of these models typically only consider unordered alternatives. But these models can be usefully adapted to the case where a respondent ranks a set of ordered alternatives ...
openaire   +3 more sources

Logit and Probit: Ordered and Multinomial Models

Journal of the American Statistical Association, 2003
(2003). Logit and Probit: Ordered and Multinomial Models. Journal of the American Statistical Association: Vol. 98, No. 463, pp. 775-776.
openaire   +1 more source

Understanding and interpreting generalized ordered logit models

The Journal of Mathematical Sociology, 2016
ABSTRACTWhen outcome variables are ordinal rather than continuous, the ordered logit model, aka the proportional odds model (ologit/po), is a popular analytical method. However, generalized ordered logit/partial proportional odds models (gologit/ppo) are often a superior alternative.
openaire   +1 more source

A mixed grouped response ordered logit count model framework

Analytic Methods in Accident Research, 2018
The study proposes and estimates a new econometric framework for analysing crash count events labeled as the Mixed Grouped Response Ordered Logit Count model. The proposed framework relates the crash count propensity to the observed counts directly while also accommodating for heteroscedasticity and unobserved heterogeneity.
Yasmin, Shamsunnahar, Eluru, Naveen
openaire   +2 more sources