Conditional mean residual life estimation

Conditional Mean Residual Life Estimation

Smooth estimation of mean residual life

Abstract: We propose here a smooth estimator of the mean residual life function based on randomly censored data. This is derived by smoothing the product-limit estimator using the Chaubey-Sen technique (Chaubey and Sen (1998)). The resulting estimator does not suffer from boundary bias as is the case with standard kernel smoothing. The asymptotic properties of the estimator are investigated. We...

Mean Residual Life Estimation Considering Operating Environment

The cost of maintenance of mechanized and automated mining systems is too high necessitating efforts to enhance the effectiveness of maintenance systems and organization. For effective maintenance planning, it is important to have a good understanding of the reliability and availability characteristics of the systems. This is essential for determining the Mean Residual Life (MRL) of systems so ...

Estimation of a Monotone Mean Residual Life

Nonparametric Estimation of the Conditional Mean Residual Life Function Based on Censored Data

The conditional mean residual life (MRL) function is the expected remaining life given a set of predictors. In this work we consider two nonparametric estimators of the conditional MRL function when the lifetime variable is subject to right censoring. We discuss some theoretical difficulties with current semiparametric models for MRL function estimation methods. We derive the asymptotic consist...