Influence diagnostics in generalized log-gamma regression models
Computational Statistics & Data Analysis
Diagnostics analysis for log-Birnbaum-Saunders regression models
Computational Statistics & Data Analysis
Influence diagnostics in log-Birnbaum-Saunders regression models with censored data
Computational Statistics & Data Analysis
Assessing local influence for nonlinear structural equation models with ignorable missing data
Computational Statistics & Data Analysis
The log-exponentiated Weibull regression model for interval-censored data
Computational Statistics & Data Analysis
Regression models for grouped survival data: Estimation and sensitivity analysis
Computational Statistics & Data Analysis
The beta Burr XII distribution with application to lifetime data
Computational Statistics & Data Analysis
On estimation and influence diagnostics for zero-inflated negative binomial regression models
Computational Statistics & Data Analysis
A log-linear regression model for the β-Birnbaum-Saunders distribution with censored data
Computational Statistics & Data Analysis
| Hi-index | 0.03 |
In survival analysis applications, the failure rate function may frequently present a unimodal shape. In such case, the log-normal or log-logistic distributions are used. In this paper, we shall be concerned only with parametric forms, so a location-scale regression model based on the Burr XII distribution is proposed for modeling data with a unimodal failure rate function as an alternative to the log-logistic regression model. Assuming censored data, we consider a classic analysis, a Bayesian analysis and a jackknife estimator for the parameters of the proposed model. For different parameter settings, sample sizes and censoring percentages, various simulation studies are performed and compared to the performance of the log-logistic and log-Burr XII regression models. Besides, we use sensitivity analysis to detect influential or outlying observations, and residual analysis is used to check the assumptions in the model. Finally, we analyze a real data set under log-Burr XII regression models.