The Empirical Likelihood Goodness-of-Fit Test for a Regression Model with Randomly Censored Data

References

• Chou , J. M. , Muller , H. G. ( 1999 ). Nonparametric quasi-likelihood . Ann. Statist. 27 : 36 – 64 .
   Google Scholar
• Chen , Y. H. ( 2000 ). A robust imputation method for surrogate outcome data . Biometrika 87 : 711 – 716 .
   Web of Science ®Google Scholar
• Chen , M. , Yuen , K. C. , Zhu , L. X. ( 2003a ). Asymptotics of the goodness-of-fit test for a partial linear model with randomly censored data . Sci. China Ser. A 46 : 145 – 158 .
   Google Scholar
• Chen , S. X. , Härdle , W. , Li , M. ( 2003b ). An empirical likelihood goodness-of-fit test for time series . J. Roy. Statist. Soc. B 65 : 663 – 678 .
   Google Scholar
• Lai , T. L. , Ying , Z. L. , Zheng , Z. K. ( 1995 ). Asymptotic normality of a class of adaptive statistics with applications of synthetic data methods for censored regression . J. Multivariate Anal. 52 : 259 – 279 .
   Web of Science ®Google Scholar
• Li , G. , Wang , Q. H. ( 2003 ). Empirical likelihood regression analysis for right censored data . Statist. Sinica 13 : 51 – 68 .
   Web of Science ®Google Scholar
• Owen , A. B. ( 1988 ). Empirical likelihood ratio confidence intervals for a single functional . Biometrika 74 : 237 – 249 .
   Web of Science ®Google Scholar
• Owen , A. B. ( 1990 ). Empirical likelihood confidence regions . Ann. Statist. 18 : 90 – 120 .
   Web of Science ®Google Scholar
• Rao , J. N. K. , Scott , A. J. ( 1981 ). The analysis of categorical data from complex sample surveys: Chi-squared tests for goodness-of-fit and independence in two-way tables . J. Amer. Statist. Assoc. 76 : 221 – 230 .
   Web of Science ®Google Scholar
• Stute , W. , Wang , J. L. ( 1993 ). The strong law under random censorship . Ann. Statist. 21 : 1591 – 1607 .
   Web of Science ®Google Scholar
• Stute , W. ( 1997 ). Nonparametric model checks for regression . Ann. Statist. 25 : 613 – 641 .
   Web of Science ®Google Scholar
• Stute , W. , Thies , S. , Zhu , L. X. ( 1998 ). Model checks for regression: an innovation process approach . Ann. Statist. 26 : 1916 – 1934 .
   Web of Science ®Google Scholar
• Wang , Q. H. , Li , G. ( 2002 ). Empirical likelihood semiparametric regression analysis under random censorship . J. Multivariate Anal. 83 : 469 – 486 .
   Web of Science ®Google Scholar
• Wang , Q. H. , Rao , J. N. K. ( 2002 ). Empirical likelihood-based inference in linear errors-in-covariables models with validation data . Biometrika 89 : 345 – 358 .
   Web of Science ®Google Scholar
• Xue , L. G. , Liao , J. Y. ( 2005 ). Parameter estimation of a regression model under cersored data . Chin. J. Eng. Math. 22 : 712 – 718 .
   Google Scholar
• Xue , L. G. , Zhu , L. X. ( 2007 ). Empirical likelihood for a varying coefficient model with longitudinal data . J. Amer. Statist. Assoc. 102 : 642 – 654 .
   Web of Science ®Google Scholar
• Xue , L. G. , Zhu , L. X. ( 2007 ). Empirical likelihood semiparametric regression analysis for longitudinal data . Biometrika 83 : 469 – 486 .
   Google Scholar
• Xue , L. G. , Zhu , L. X. ( 2008 ). Empirical likelihood-based inference in a partially linear model for longitudinal data . Sci. China Ser. A 51 : 115 – 130 .
   Google Scholar
• Zhu , L. X. , Ng , K. W. ( 2003 ). Checking the adequacy of a partial linear model . Statist. Sinica 13 : 763 – 781 .
   Web of Science ®Google Scholar
• Zhu , L. X. , Xue , L. G. ( 2006 ). Empirical likelihood confidence regions in a partially linear single-index model . J. Roy. Statist. Soc. B 68 : 549 – 570 .
   Google Scholar
• Zhu , L. X. , Qin , Y. S. , Xu , L. W. ( 2007 ). The empirical likelihood goodness-of-fit test for regression model . Sci. China Ser. A 50 : 829 – 840 .
   Google Scholar