周茂袁, 耿薇, 李忠华. 一个监控方差的与分布无关的变点模型[J]. 应用概率统计, 2014, 30(5): 461-468.
引用本文: 周茂袁, 耿薇, 李忠华. 一个监控方差的与分布无关的变点模型[J]. 应用概率统计, 2014, 30(5): 461-468.
Zhou Maoyuan, Geng Wei, Li Zhonghua. A Distribution-Free Change-Point Model for Monitoring Dispersion[J]. Chinese Journal of Applied Probability and Statistics, 2014, 30(5): 461-468.
Citation: Zhou Maoyuan, Geng Wei, Li Zhonghua. A Distribution-Free Change-Point Model for Monitoring Dispersion[J]. Chinese Journal of Applied Probability and Statistics, 2014, 30(5): 461-468.

一个监控方差的与分布无关的变点模型

A Distribution-Free Change-Point Model for Monitoring Dispersion

  • 摘要: 文献中绝大部分与分布无关的控制图用于监控过程位置参数, 如均值或中位数, 而非过程方差. 该文开发了一个新的与分布无关的控制图, 通过整合一个两样本非参数检验和有效的变点模型. 所提出的控制图容易计算, 方便应用, 并且对于探测过程方差的漂移非常有效. 因为它避免了在监控之前的一个很长时间的收集数据的阶段, 并且它不需要潜在的过程分布的知识, 因此, 所提出的控制图在开始阶段或者短程运行情况下特别有用.

     

    Abstract: Most distribution-free control charts in the literature are used to monitor process location parameters, such as mean or median, rather than process dispersion parameters. This paper develops a new distribution-free control chart by integrating a two-sample nonparametric test into the effective change-point model. Our proposed chart is easy in computation, convenient to use, and very powerful in detecting process dispersion shifts. As it avoids the need for a lengthy data-gathering step before charting and it does not require knowledge of the underlying distribution, the proposed chart is particularly useful in start-up or short-run situations.

     

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