Results 371 to 380 of about 417,636 (395)

Comparing three commonly used crash severity models on sample size requirements: Multinomial logit, ordered probit and mixed logit models

Analytic Methods in Accident Research, 2014
Dominique Lord
exaly  

Driver-injury severity in single-vehicle crashes in California: A mixed logit analysis of heterogeneity due to age and gender

Accident Analysis and Prevention, 2013
Joon-Ki Kim, Gudmundur F Ulfarsson, Sungyop Kim   +2 more
exaly  

Testing for Interaction in Binary Logit and Probit Models: Is a Product Term Essential?

American Journal of Political Science, 2010
Justin E Esarey
exaly  

Analysis of hourly crash likelihood using unbalanced panel data mixed logit model and real-time driving environmental big data

Journal of Safety Research, 2018
Suren Chen, Xiaoxiang
exaly  

Analyzing freeway crash severity using a Bayesian spatial generalized ordered logit model with conditional autoregressive priors

Accident Analysis and Prevention, 2019
Qiang Zeng, Weihua Gu, Huiying Wen
exaly  

Logit Modeling

2017
openaire   +1 more source

On „Multivariate Logit Analysis”︁

Biometrische Zeitschrift, 1975
Kullback, S., Fisher, M.
openaire   +2 more sources

The Role of the Scale Parameter in the Estimation and Comparison of Multinomial Logit Models

, 1993
J. Swait, J. Louviere
semanticscholar   +1 more source

A latent segmentation based generalized ordered logit model to examine factors influencing driver injury severity

Analytic Methods in Accident Research, 2014
Shamsunnahar Yasmin, Naveen Eluru, Chandra R Bhat   +2 more
exaly  

Logit Models

2018
openaire   +1 more source