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A bivariate regression model for matched paired survival data: local influence and residual analysis

Listed author(s):
  • Gladys Barriga


  • Francisco Louzada-Neto


  • Edwin Ortega


  • Vicente Cancho


Registered author(s):

    No abstract is available for this item.

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    Article provided by Springer & Società Italiana di Statistica in its journal Statistical Methods & Applications.

    Volume (Year): 19 (2010)
    Issue (Month): 4 (November)
    Pages: 477-495

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    Handle: RePEc:spr:stmapp:v:19:y:2010:i:4:p:477-495
    DOI: 10.1007/s10260-010-0140-1
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    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

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    1. Juliana Fachini & Edwin Ortega & Francisco Louzada-Neto, 2008. "Influence diagnostics for polyhazard models in the presence of covariates," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 17(4), pages 413-433, October.
    2. Zhezhen Jin, 2003. "Rank-based inference for the accelerated failure time model," Biometrika, Biometrika Trust, vol. 90(2), pages 341-353, June.
    3. Carrasco, Jalmar M.F. & Ortega, Edwin M.M. & Paula, Gilberto A., 2008. "Log-modified Weibull regression models with censored data: Sensitivity and residual analysis," Computational Statistics & Data Analysis, Elsevier, vol. 52(8), pages 4021-4039, April.
    4. 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.
    5. Silva, Giovana Oliveira & Ortega, Edwin M.M. & Cancho, Vicente G. & Barreto, Mauricio Lima, 2008. "Log-Burr XII regression models with censored data," Computational Statistics & Data Analysis, Elsevier, vol. 52(7), pages 3820-3842, March.
    6. 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.
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