Abstract
Abstract In life-testing situations, the additional lifetime that a component has survived until time t is called the residual life function of the component. In this paper, we study the residual coefficient of variation, γ(t), and show that γ(t) characterizes the distribution in the univariate as well as the bivariate case. Some examples are presented to illustrate the procedure. Finally, conditions on the failure rate and the mean residual life functions are investigated which ensure the monotonicity of γ(t).
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