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Sequential Change-Point Detection and Estimation

机译:顺序变化点检测和估计

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摘要

Two groups of sequential testing procedures are proposed to detect an abrupt change in the distribution of a sequence of observations: truncated and open ended. They are based on large sample strong approximations of the efficient score vector under the null hypothesis of no change and under the alternative hypothesis. An estimator of the time of change is proposed and its approximate bias is analyzed. The estimation of the new parameters that describe the changed distribution naturally follows.
机译:建议使用两组顺序测试程序来检测一系列观测结果的突变:截断和开放式。它们基于无变化的原假设和替代假设下有效得分向量的大样本强近似值。提出了变化时间的估计器,并分析了其近似偏差。自然地,将描述描述变化分布的新参数。

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