Quantifying the Inspection Paradox with Random Time

Diana Rauwolf, U. Kamps
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Abstract

Abstract The well-known inspection paradox of renewal theory states that, in expectation, the inspection interval is larger than a common renewal interval, in general. For a random inspection time, which includes the deterministic case, and a delayed renewal process, representations of the expected length of an inspection interval and related inequalities in terms of covariances are shown. Datasets of eruption times of Beehive Geyser and Riverside Geyser in Yellowstone National Park, as well as several distributional examples, illustrate the findings.
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随机时间下检验悖论的量化
摘要:众所周知的更新理论检查悖论表明,在期望中,检查间隔通常大于普通的更新间隔。对于随机检查时间(包括确定性情况)和延迟更新过程,给出了检查间隔的期望长度和相关协方差不等式的表示。黄石国家公园蜂巢间歇泉和河滨间歇泉喷发时间的数据集,以及几个分布的例子,说明了这一发现。
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