an efficient estimation of the mean residual life function with length-biased right-censored data

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ID: 178060
2014
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Abstract
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.
Reference Key
wu2014mathematicalan Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Hongping Wu;Yihui Luan
Journal journal of power sources
Year 2014
DOI
10.1155/2014/937397
URL
http://dx.doi.org/10.1155/2014/937397
Keywords
civil engineering (general)mathematics engineering (general)

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