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 OJS  Vol.4 No.4 , June 2014
Statistical Diagnosis for Random Right Censored Data Based on Kaplan-Meier Product Limit Estimate
Shuling Wang*, Xiaohong Deng, Lin Zheng
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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.
Keywords: Random Right Censorship, Kaplan-Meier Product-Limit Estimator, Empirical Likelihood, Outliers, Influence Analysis
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.
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