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A Generalized Statistical Control Chart for Over- or Under-Dispersed Data

机译:过度或分散数据的广义统计控制图

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The Poisson distribution is a popular distribution used to describe count information, from which control charts involving count data have been established. Several works recognize the need for a generalized control chart to allow for data over-dispersion; however, analogous arguments can also be made to account for potential under-dispersion. The Conway-Maxwell-Poisson (COM-Poisson) distribution is a general count distribution that relaxes the equi-dispersion assumption of the Poisson distribution, and in fact encompasses the special cases of the Poisson, geometric, and Bernoulli distributions. Accordingly, a flexible control chart is developed that encompasses the classical Shewart charts based on the Poisson, Bernoulli (or binomial), and geometric (or negative binomial) distributions.
机译:泊松分布是一种流行的分布,用于描述计数信息,由此可以建立涉及计数数据的控制图。一些作品认识到需要通用的控制图以允许数据过度分散。但是,也可以进行类似的论证以说明潜在的分散不足。 Conway-Maxwell-Poisson(COM-Poisson)分布是一种通用的计数分布,它放宽了Poisson分布的等散假设,并且实际上包含了Poisson分布,几何分布和Bernoulli分布的特殊情况。因此,开发了一种灵活的控制图,其中包括基于Poisson,Bernoulli(或二项式)和几何(或负二项式)分布的经典Shewart图。

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