Two Nonparametric Estimators of the Mean Residual Life

Abdel-Razzaq Mugdadi; Amanuel Teweldemedhin

doi:10.57805/revstat.v11i3.139

Two Nonparametric Estimators of the Mean Residual Life

Authors

Abdel-Razzaq Mugdadi Jordan University of Science and Technology
Amanuel Teweldemedhin University of Wisconsin

DOI:

https://doi.org/10.57805/revstat.v11i3.139

Keywords:

mean residual life, kernel, empirical, estimation, mean square error, bandwidth, consistent

Abstract

The mean residual life function L(t) can be written based on the vitality function V (t). In this article we propose two methods to estimate V (t). The two methods are based on both the kernel density estimation and the empirical function. In addition, we evaluate the mean square error of the two estimators and we study the consistency for both of them.

Downloads

REVSTAT2013v11n3_4

Published

2013-11-29

How to Cite

Mugdadi , A.-R., & Teweldemedhin , A. (2013). Two Nonparametric Estimators of the Mean Residual Life. REVSTAT-Statistical Journal, 11(3), 301–315. https://doi.org/10.57805/revstat.v11i3.139