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The covariance of the backward and forward recurrence times in a renewal process: the stationary case and asymptotics for the ordinary case

机译:更新过程中向前和向后重复时间的协方差:平稳情况和平常情况下的渐近性

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摘要

In a Poisson process, it is well-known that the forward and backward recurrence times at a given time point t are independent random variables. In a renewal process, although the joint distribution of these quantities is known (asymptotically), it seems that very few results regarding their covariance function exist. In the present paper, we study this covariance and, in particular, we state both necessary and sufficient conditions for it to be positive, zero or negative in terms of reliability classifications and the coefficient of variation of the underlying inter-renewal and the associated equilibrium distribution. Our results apply either for an ordinary renewal process in the steady state or for a stationary process.
机译:在泊松过程中,众所周知,在给定时间点t的正向和反向递归时间是独立的随机变量。在更新过程中,尽管这些量的联合分布(渐近地)是已知的,但似乎关于它们的协方差函数的结果很少。在本文中,我们研究了这种协方差,尤其是,我们在可靠性分类以及潜在的内部更新和相关平衡的变异系数方面陈述了使其为正,零或负的必要条件和充分条件。分配。我们的结果适用于稳定状态下的常规更新过程或固定过程。

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