… multinomial logit model and an ordered logit model are … of the vehicle on pedestrian crash
severity has not been considered in any studies before, which we have examined in this study. …

… This study also is using multinomial logit model in explaining … that this model significantly
out-performs ordered probit models … ) developed a heteroscedastic ordered logit model which …

… non-nested upper groups (company level and regional level in our case) are difficult to
address properly using a traditional single-level ordinary ordered logit model. The single-level …

… (truck crash severity) used in this study represents an ordered … the ordered-response model
was suitable for the analysis of … random-effects generalized ordered logit model, also known …

… A heteroskedastic model was used and compared with the MNL … The analysis results of this
study revealed that several factors (such as primary-educated drivers, drivers over the age of …

… The contributions of this study include: (1) examining the … injury severity in single-truck
and two-vehicle crashes with truck … , this study developed Bayesian binary logit models to …

… can be guaranteed to always fall within a closed interval 0 , 1 , and the heteroscedasticity of
… for this study to compare the excellence of the binary logit model with the classification and …

… This study develops an ordered probit model to evaluate … severity using ten years’ ship
collision accident data from Fujian sea areas. The model results show that the involvement of big …

… Due to the ordinal nature of the injury severity (ie, fatality, disabling injury, evident injury, … ,
this study uses an ordered probit model to analyze single-vehicle, single-pedestrian crash data …

… logit models to analyze crash records and found that injury … -parameter ordinal models to
analyze light-duty single-vehicle … -parameter version of the ordinal logit models to account for …