OJS  Vol.4 No.4 , June 2014
Statistical Diagnosis for Random Right Censored Data Based on Kaplan-Meier Product Limit Estimate
ABSTRACT

In this work, we consider statistical diagnostic for random right censored data based on K-M product limit estimator. Under the definition of K-M product limit estimator, we obtain that the relation formula between estimators. Similar to complete data, we define likelihood displacement and likelihood ratio statistic. Through a real data application, we show that our proposed procedure is validity.


Cite this paper
Wang, S. , Deng, X. and Zheng, L. (2014) Statistical Diagnosis for Random Right Censored Data Based on Kaplan-Meier Product Limit Estimate. Open Journal of Statistics, 4, 313-317. doi: 10.4236/ojs.2014.44031.
References
[1]   Cook, R.D. and Weisberg, S. (1982) Residuals and Influence in Regression. Chapman and Hall, New York.

[2]   Wei, B.C., Lu, G.B. and Shi, J.Q. (1990) Statistical Diagnostics. Publishing House of Southeast University, Nanjing.

[3]   Cai, Z., Fan, J. and Li, R. (2000) Efficient Estimation and Inferences for Varying-Coefficient Models. Journal of American Statistical Association, 95, 888-902.
http://dx.doi.org/10.1080/01621459.2000.10474280

[4]   Fan, J. and Zhang, W. (2008) Statistical Methods with Varying Coefficient Models. Statistics and Its Interface, 1, 179-195.
http://dx.doi.org/10.4310/SII.2008.v1.n1.a15

[5]   Owen, A. (2001) Empirical Likelihood. Chapman and Hall, New York.
http://dx.doi.org/10.1201/9781420036152

[6]   Andersen, P.K., Borgan, O., Gill, R.D. and Keiding, N. (1993) Statistical Models Based on Counting Processes. Springer-Verlag, New York.

[7]   Wang, Q.H. (2006) Analysis of Survival Data. Science Press, Beijing.

[8]   Wang, S.L., Feng, Y. and Liu, X.B. (2010) Statistical Diagnostics of Nonparametric Regression Model with Random Right Censorship. Journal of Hefei University of Technology (Natural Science), 33, 470-473.

 
 
Top