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
, 313-317. doi: 10.4236/ojs.2014.44031
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