Focusing on ecological abundance data, much attention has been given to zero-inflated count data. Models for non-negative continuous abundance data with an excess of zeros are rarely discussed. Work presented here considers the creation of a point mass at zero through a left-censoring approach or...
www.nature.com/scientificreports OPEN Enhancing the reliability of particulate matter sensing by multivariate Tobit model using weather and air quality data Wan‑Sik Won 1,2, Jinhong Noh 3, Rosy Oh 4, Woojoo Lee 5, Jong‑Won Lee 6, Pei‑Chen Su 1*...
Tobit model has been applied more frequently in the literature over the last years. For instance, Traynor (2005) has adopted the Tobit regression to model crash severities with a focus on the driving under alcohol influence. Study of Anastasopoulos et al. (2008) on interstate highway crash ...
The application of probit, logit, and tobit in marketing: A review The models are defined and related to the multivariate methods commonly used in marketing research. Second, the theoretical problems associated with using regression analysis and similar procedures on qualitative data are noted and the...
Andersen A, Benn CS, Jorgensen MJ, Ravn H. Censored correlated cytokine con- centrations: multivariate Tobit regression using clustered variance estimation. Stat Med 2013;32:2859-74.Andersen A, Benn CS, Jorgensen MJ, Ravn H. Censored correlated cytokine con- centrations: multivariate Tobit ...
The proposed model outperforms a multivariate random-parameters Tobit model and a multivariate random-parameters spatial Tobit model in terms of model fit. These findings highlight the importance of appropriately accommodating spatio-temporal correlation and interaction for the joint analysis of areal ...
Significant temporal effects are found in all of the temporal models, and the inclusion of temporal correlation considerably improves the goodness of fit of the multivariate random parameters Tobit regression, according to the results of deviance information criteria (DIC) and Bayesian R, indicating ...
Significant temporal effects are found in all of the temporal models, and the inclusion of temporal correlation considerably improves the goodness of fit of the multivariate random parameters Tobit regression, according to the results of deviance information criteria (DIC) and Bayesian R-2, indicating...
The proposed model outperforms a multivariate random-parameters Tobit model and a multivariate random-parameters spatial Tobit model in terms of model fit. These findings highlight the importance of appropriately accommodating spatio-temporal correlation and interaction for the joint analysis of areal ...
The same analysis as for turnmar would apply when turnin is used as dependent variable. Attending to the level of measurement of the variables, an ordered logistic regression is proposed in the case of the index of innovation, and a Tobit regression model for the variable turnmar. In this ...