Jackknife Empirical Likelihood Inference for the Variance Residual Life Function
In life testing situations, the residual life time of a component which has survived t units of time is Xt = X −t|X > t. In this paper, we give a central limit theorem result for the estimator of Var(Xt), the variance residual life(VRL) function. The result is used to construct normal approximat...
Main Author: | Vali Zardasht |
---|---|
Format: | Article |
Language: | English |
Published: |
Instituto Nacional de Estatística | Statistics Portugal
2021-03-01
|
Series: | Revstat Statistical Journal |
Subjects: | |
Online Access: | https://revstat.ine.pt/index.php/REVSTAT/article/view/329 |
Similar Items
-
Empirical-Likelihood-Based Inference for Partially Linear Models
by: Haiyan Su, et al.
Published: (2024-01-01) -
The jackknife and bootstrap /
by: 354375 Jun, Shao, et al.
Published: (1995) -
A Penalized Likelihood Approach to Parameter Estimation with Integral Reliability Constraints
by: Barry Smith, et al.
Published: (2015-06-01) -
The consistency of bootstrap and jackknife variance estimators for finite population L-statistics
by: Andrius Čiginas
Published: (2012-12-01) -
Adjusted Empirical Likelihood Method in the Presence of Nuisance Parameters with Application to the Sharpe Ratio
by: Yuejiao Fu, et al.
Published: (2018-04-01)