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Poisson and non-Poisson properties in appointment-generated arrival processes: The case of an endocrinology clinic

机译:约会生成的到达过程中的泊松和非泊松属性:内分泌诊所的情况

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摘要

Previous statistical tests showed that call center arrival data were consistent with a non-homogeneous Poisson process (NHPP) within each day, but exhibit over-dispersion over multiple days. These tests are applied to arrival data from an endocrinology clinic, where arrivals are by appointment. The clinic data are also consistent with an NHPP within each day, but exhibit under-dispersion over multiple days. This analysis supports a new Gaussian-uniform arrival process model, with Gaussian daily totals and uniformly distributed arrivals given the totals. (C) 2015 Elsevier B.V. All rights reserved.
机译:先前的统计测试表明,呼叫中心的到达数据每天都与非均匀泊松过程(NHPP)一致,但在多天内表现出过度分散。这些测试适用于来自内分泌诊所的到达数据,在这里需要预约。每天的临床数据也与NHPP一致,但在多天内表现出分散不足。该分析支持一种新的高斯均匀到达过程模型,该模型具有高斯的每日总数,并给出总数的均匀分布的到达。 (C)2015 Elsevier B.V.保留所有权利。

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