An Efficient Estimation of the Mean Residual Life Function with Length-Biased Right-Censored Data
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-09
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
The mean residual life (MRL) function for a lifetime random variable T0 is one of the basic parameters of interest in survival analysis.
In this paper, we propose a new estimator of the MRL function with length-biased right-censored data and evaluate its performance through a small Monte Carlo simulation study.
The results of the simulations show that the proposed estimator outperforms the existing one referred to in Data and Model Setup Section in terms of Monte Carlo bias and mean square error, especially when the censoring rate is heavy.
We also show that the proposed estimator converges in distribution under some conditions.
American Psychological Association (APA)
Wu, Hongping& Luan, Yihui. 2014. An Efficient Estimation of the Mean Residual Life Function with Length-Biased Right-Censored Data. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-509659
Modern Language Association (MLA)
Wu, Hongping& Luan, Yihui. An Efficient Estimation of the Mean Residual Life Function with Length-Biased Right-Censored Data. Mathematical Problems in Engineering No. 2014 (2014), pp.1-5.
https://search.emarefa.net/detail/BIM-509659
American Medical Association (AMA)
Wu, Hongping& Luan, Yihui. An Efficient Estimation of the Mean Residual Life Function with Length-Biased Right-Censored Data. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-509659
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-509659