Ageing and dependence are two important characteristics in reliability and survival analysis,
and they affect significantly the decision people make with regard to maintenance …

Abstract Yang (Ann Stat, 6: 112–116, 1978) considered an empirical estimate of the mean
residual life function on a fixed finite interval. She proved it to be strongly uniformly …

This paper aims to propose a Novel Condition-based maintenance (CBM) decision aid
model for optimising the maintenance of complex multi-component systems. As the …

In survival or reliability studies, the mean residual life or life expectancy is an important
characteristic of the model. Whereas the failure rate can be expressed quite simply in terms …

In survival or reliability studies, the mean residual life or life expectancy is an important
characteristic of the model. Here, we study the limiting behaviour of the mean residual life …

The mean residual life function is of interest in many fields such as reliability, survival
analysis, actuarial studies, etc. Given a sample from an unknown distribution function, we …

In this paper, we introduce the Marshall–Olkin Pareto type-I (MOPTI) distribution. Structural
properties of the MOPTI distribution including the quantile function, mean residual life, and a …

In life testing situations, the additional life time given that the component has survived upto
time t is called the residual life function (RLF) of the component. More specifically, if X is the …

The mean residual life (MRL) of a nonnegative random variable X plays an important role in
various disciplines such as reliability, survival analysis, and extreme value theory. This …

Two principal tools, namely, the likelihood and the union-intersection principles are critically
appraised with respect to their roles in drawing statistical inference when the parameters are …