Influence diagnostics for polyhazard models in the presence of covariates
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Bibliographic InfoArticle provided by Springer in its journal Statistical Methods and Applications.
Volume (Year): 17 (2008)
Issue (Month): 4 (October)
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Web page: http://link.springer.de/link/service/journals/10260/index.htm
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- Lee, Sik-Yum & Lu, Bin & Song, Xin-Yuan, 2006. "Assessing local influence for nonlinear structural equation models with ignorable missing data," Computational Statistics & Data Analysis, Elsevier, vol. 50(5), pages 1356-1377, 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.
- Elizabeth Hashimoto & Gauss Cordeiro & Edwin Ortega, 2013. "The new Neyman type A beta Weibull model with long-term survivors," Computational Statistics, Springer, vol. 28(3), pages 933-954, June.
- Hashimoto, Elizabeth M. & Ortega, Edwin M.M. & Cancho, Vicente G. & Cordeiro, Gauss M., 2010. "The log-exponentiated Weibull regression model for interval-censored data," Computational Statistics & Data Analysis, Elsevier, vol. 54(4), pages 1017-1035, April.
- 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 and Applications, Springer, vol. 19(4), pages 477-495, November.
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