TITLE:
Statistical Diagnosis for Random Right Censored Data Based on Kaplan-Meier Product Limit Estimate
AUTHORS:
Shuling Wang, Xiaohong Deng, Lin Zheng
KEYWORDS:
Random Right Censorship, Kaplan-Meier Product-Limit Estimator, Empirical Likelihood, Outliers, Influence Analysis
JOURNAL NAME:
Open Journal of Statistics,
Vol.4 No.4,
June
20,
2014
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.