Studies investigating crash rates by roadway classification are few and far between and even more so if extended to focus on heavy vehicles. This study explores and compares two advanced econometric methods, random-parameter Tobit regression and latent class Tobit regression, to determine contributing factors for heavy vehicle crashes per million-vehicle-miles-traveled while accounting for the ...

This research develops a mixture regression model that is shown to have advantages over the classical Tobit model in model fit and predictive tests when data are generated from a two step process. Additionally, the model is shown to allow for flexibility in distributional assumptions while nesting the classic Tobit model. A simulated data set is utilized to assess the potential loss in efficien...

BACKGROUND For several immune-mediated diseases, immunological analysis will become more complex in the future with datasets in which cytokine and gene expression data play a major role. These data have certain characteristics that require sophisticated statistical analysis such as strategies for non-normal distribution and censoring. Additionally, complex and multiple immunological relationshi...

This study examines whether the perceived boundary between in-role and extra-role behaviors varies depending on workplace conditions, emphasizing how interactional justice influences an employee’s role definitions. We collect data through a questionnaire survey and adopt Tobit regressions for hypothesis testing. The study results indicate that perceived interactional justice enlarges the breadt...

In this paper, Data Envelopment Analysis (DEA) and super efficient DEA (SE-DEA) are employed to measure the efficiency of Chinese commercial banks. Incorporating Tobit regression analysis, the determinants of banking efficiency are investigated based on Panel data. Overall, the DEA results show relatively low average efficiency levels and state-owned banks are more inefficient than that of join...

A nonparametric lack-of-fit test is proposed to check the adequacy of the presumed parametric form for the regression function in Tobit regression models by applying Zheng’s device with weighted residuals. It is shown that testing the null hypothesis for the standard Tobit regression models is equivalent to test a new null hypothesis of the classic regression models. An optimal weight function ...

A Bayesian approach is proposed for coefficient estimation in Tobit quantile regression model. The proposed approach is based on placing a g-prior distribution depends on the quantile level on the regression coefficients. The prior is generalized by introducing a ridge parameter to address important challenges that may arise with censored data, such as multicollinearity and overfitting problems...

cotton as a strategic product plays an important role inthe economy of boshrouyehwhere is known as the major cotton producing center of khorasan-e-jonoubi. in this paper, efficiency of boshroyeh cotton farms in 2007 have been calculated using data envelopment analysis (dea) and determinants of efficiency were identified using tobit regression analysis. the data was collected from questionnaires...