An Efficient Estimation of the Mean Residual Life Function with Length-Biased Right-Censored Data

Joint Authors

Wu, Hongping
Luan, Yihui

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

Civil Engineering

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