… an ordered logit model is used to analyze the data. In these studies, the proposed logit and
probit models … an electronic database of 137,470 vehicle–pedestrian crashes in Korea for the …

… with truck crash costs, safety analysis, and risk factor identification with an emphasis on the
… The ordered probit or logit models assume that the independent variables have the same …

… The data used in the present study involve road traffic accident … severity in motor-vehicle
crashes: A heteroskedastic logit … : multinomial logit, ordered probit and mixed logit models. …

… However, their study was constrained to truck-involved crashes. Furthermore, … heteroscedastic
ordered logit models to analyze driver’s injury severity in single- and two-vehicle crashes …

… killed in crashes involving large trucks (gross vehicle weight rating … Use of heteroscedastic
ordered logit model to study severity of occupant injury: distinguishing effects of vehicle weight …

… Based on the results of random parameters logit models, this study found that the effects of
… , “Analysis of large truck crash severity using heteroskedastic ordered probit models,” Accid. …

… -vehicle crash severity analysis, our study adopts an advanced computational approach,
utilizing a mixed logit model … situations where data may exhibit correlation or heteroscedasticity. …

… ordered logit model developed in this study. For each independent variable, there is only one
estimated coefficient across all crash severity … ordered probit model to injury severity in truck…

… They found that pedestrian age induces heteroskedasticity, which has an impact on fatal
injury … (MNL, ML, and PPO) that are used and applied to analyze the pedestrian crash severity …

… All the eight mixed logit models were developed in this study using the NLOGIT software.
The estimation results and pseudo-elasticity results of all statistically significant parameters ( P …