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Approximating the Conway-Maxwell-Poisson distribution normalization constant

机译:近似Conway-Maxwell-Poisson分布归一化常数

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摘要

By adding a second parameter, Conway and Maxwell created a new distribution for situations where data deviate from the standard Poisson distribution. This new distribution contains a normalization constant expressed as an infinite sum whose summation has no known closed-form expression. Shmueli et al. produced an approximation for this sum but proved that it was valid only for integer values of the second parameter, although they conjectured it was also valid for non-integers. Here we prove their conjecture to be true and discuss for what range of parameters the approximation can be accurately applied.
机译:通过添加第二个参数,Conway和Maxwell为数据偏离标准Poisson分布的情况创建了新的分布。此新分布包含表示为无穷大的归一化常数,其总和没有已知的闭式表达式。 Shmueli等。得出了该总和的近似值,但证明了它仅对第二个参数的整数有效,尽管他们认为这对非整数也有效。在这里,我们证明他们的猜想是正确的,并讨论了可以在哪些参数范围内正确应用近似值。

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