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Statistical Diagnosis for Random Right Censored Data Based on Kaplan-Meier Product Limit Estimate
Department of Fundamental Course, Air Force Logistics College, Xuzhou, China
Department of Fundamental Course, Air Force Logistics College, Xuzhou, China
School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, China
- 1 Department of Fundamental Course, Air Force Logistics College, Xuzhou, China
- 2 Department of Fundamental Course, Air Force Logistics College, Xuzhou, China
- 3 School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, China
Open Journal of Statistics·Volume 04 (2014)·Pages 313–317·Published 20 June 2014·DOI10.4236/ojs.2014.44031
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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.
KeywordsRandom Right CensorshipKaplan-Meier Product-Limit EstimatorEmpirical LikelihoodOutliersInfluence Analysis
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