The generalized log-gamma mixture model with covariates: local influence and residual analysis
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DOI: 10.1007/s10260-008-0104-x
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References listed on IDEAS
- Yingwei Peng & Keith B. G. Dear, 2000. "A Nonparametric Mixture Model for Cure Rate Estimation," Biometrics, The International Biometric Society, vol. 56(1), pages 237-243, March.
- Ortega, Edwin M. M. & Bolfarine, Heleno & Paula, Gilberto A., 2003. "Influence diagnostics in generalized log-gamma regression models," Computational Statistics & Data Analysis, Elsevier, vol. 42(1-2), pages 165-186, February.
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- Gladys Barriga & Francisco Louzada-Neto & Edwin Ortega & Vicente Cancho, 2010. "A bivariate regression model for matched paired survival data: local influence and residual analysis," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(4), pages 477-495, November.
- Ortega, Edwin M.M. & Cordeiro, Gauss M. & Lemonte, Artur J., 2012. "A log-linear regression model for the β-Birnbaum–Saunders distribution with censored data," Computational Statistics & Data Analysis, Elsevier, vol. 56(3), pages 698-718.
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Keywords
Logistic model; Mixture models; Log-gamma generalized distribution; Influence diagnostics; Censored data; Survival data;All these keywords.
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