A log-linear regression model for the \(\beta\)-Birnbaum-Saunders distribution with censored data
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Publication:425683
DOI10.1016/j.csda.2011.09.018zbMath1318.62298OpenAlexW1988034654MaRDI QIDQ425683
Gauss M. Cordeiro, Artur J. Lemonte, Edwin M. M. Ortega
Publication date: 8 June 2012
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2011.09.018
maximum likelihood estimationgenerating functioncensored datalifetime dataregression modelBirnbaum-Saunders distributioncure fraction
Exact distribution theory in statistics (62E15) General nonlinear regression (62J02) Estimation in survival analysis and censored data (62N02)
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Cites Work
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- The generalized log-gamma mixture model with covariates: local influence and residual analysis
- Log-Weibull extended regression model: estimation, sensitivity and residual analysis
- Signed likelihood ratio tests in the Birnbaum-Saunders regression model
- A new family of life distributions based on the elliptically contoured distributions
- Destructive weighted Poisson cure rate models
- Generalized log-gamma regression models with cure fraction
- The \(\beta\)-Birnbaum-Saunders distribution: an improved distribution for fatigue life modeling
- Influence diagnostics in generalized log-gamma regression models
- Local influence in principal component analysis: relationship between the local influence and influence function approaches revisited
- Improved interval estimation for the two-parameter Birnbaum-Saunders distribution
- Birnbaum-Saunders nonlinear regression models
- A log-extended Weibull regression model
- The log-exponentiated Weibull regression model for interval-censored data
- Improved likelihood inference in Birnbaum-Saunders regressions
- Asymptotic skewness in Birnbaum-Saunders nonlinear regression models
- A generalized log-gamma mixture model for cure rate: estimation and sensitivity analysis
- Improved statistical inference for the two-parameter Birnbaum-Saunders distribution
- Influence diagnostics in log-Birnbaum-Saunders regression models with censored data
- Mixture cure models for multivariate survival data
- On the hazard function of Birnbaum-Saunders distribution and associated inference
- Log-Burr XII regression models with censored data
- Log-modified Weibull regression models with censored data: sensitivity and residual analysis
- Assessing local influence for specific restricted likelihood: Application to factor analysis
- Size and power properties of some tests in the Birnbaum-Saunders regression model
- Small-Sample Corrections for Score Tests in Birnbaum–Saunders Regressions
- Covariance matrix formula for Birnbaum–Saunders regression models
- Parametric Spatial Cure Rate Models for Interval‐Censored Time‐to‐Relapse Data
- Stochastic models of failure in random environments
- On the Relationship between Two Fatigue-Life Models
- Estimation of threshold stress in accelerated life-testing
- Estimation in a Cox Proportional Hazards Cure Model
- A Nonparametric Mixture Model for Cure Rate Estimation
- Assessing Influence in Regression Analysis with Censored Data
- A Frailty Mixture Model for Estimating Vaccine Efficacy
- A Bayesian Long‐term Survival Model Parametrized in the Cured Fraction
- Influence diagnostics in Birnbaum–Saunders nonlinear regression models
- Diagnostics analysis in censored generalized Poisson regression model
- Bootstrap-based improved estimators for the two-parameter Birnbaum–Saunders distribution
- A new family of life distributions
- Estimation for a family of life distributions with applications to fatigue
- A Log-Linear Model for the Birnbaum-Saunders Distribution
- Semiparametric Transformation Models for Survival Data With a Cure Fraction
- Bayesian survival analysis
- A new class of survival regression models with heavy-tailed errors: robustness and diagnostics
