Comparison some censored regression models with application to renal failure data

Document Type : Research Paper


1 College of Administration and Economics, University of Kirkuk, Iraq

2 College Education for Pure Sciences, University of Kirkuk, Iraq


This article dealt with the topic of using some functions in the censored regression model, such as the Tobit model and Log-BurrXIIEE model and estimating the parameters of the two models. Based on real data for patients with renal failure, the two models were compared. Results are showed  that the LBXIIEE model is the best model compared to the Tobit model according to the values of the model selection criteria, as the values of these criteria for the LBXIIEE model were less than the values of the same criteria for the Tobit model when Urea as a dependent variable in the model. We also note that the values of the criteria (AIC, BIC, H-QIC) change and decrease according to the steps used for estimation and analysis of the two models (Tobit, LBXIIEE) according to the specific dependent variable


Volume 12, Special Issue
January 2021
Pages 799-807
  • Receive Date: 05 February 2021
  • Revise Date: 05 July 2021
  • Accept Date: 05 August 2021
  • First Publish Date: 05 August 2021