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The generalized log-gamma mixture model with covariates: local influence and residual analysis

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  • Edwin Ortega

  • Fernanda Rizzato
  • Clarice Demétrio

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  • Edwin Ortega & Fernanda Rizzato & Clarice Demétrio, 2009. "The generalized log-gamma mixture model with covariates: local influence and residual analysis," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(3), pages 305-331, August.
    • Handle: RePEc:spr:stmapp:v:18:y:2009:i:3:p:305-331
    DOI: 10.1007/s10260-008-0104-x
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    References listed on IDEAS

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    1. Sudipto Banerjee & Bradley P. Carlin, 2004. "Parametric Spatial Cure Rate Models for Interval-Censored Time-to-Relapse Data," Biometrics, The International Biometric Society, vol. 60(1), pages 268-275, March.
    2. 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.
    3. 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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    Cited by:

    1. 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.
    2. 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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