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EWMA Charts for Detecting a Change-Point in the Drift of a Stochastic Process

机译:EWMA图表,用于检测随机过程漂移中的变化点

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摘要

In an earlier paper, we suggested and analyzed some new (truncated) stopping rules for detecting a change-point in the drift of a renewal counting process under the assumption that information on the process under observation only was available at discrete equidistant timepoints, by embedding the observed process into a Gaussian framework. The present paper is devoted to the investigation, of analogous stopping rules, related to EWMA (exponentially weighted moving average) charts, which allow for a more flexible change detection procedure.
机译:在较早的论文中,我们建议并分析了一些新的(截断的)停止规则,该规则用于通过嵌入嵌入来仅在离散的等距时间点获得有关正在观察的过程的信息的假设,用于检测更新计数过程的漂移中的变化点将观察到的过程转换成高斯框架。本文致力于调查与EWMA(指数加权移动平均线)图有关的类似停止规则,从而允许更灵活的变化检测程序。

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