Ditemukan 1 dokumen yang sesuai dengan query
Runhui Wang
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ABSTRACT
Count data are often described by the Poisson distribution, which requires identical mean and variance, namely equi dispersion. However, in practical situations, count data usually exhibit either over dispersion with variance larger than mean, or under dispersion with variance smaller than mean. Therefore, traditional approaches that focus on only mean shifts, such as the c chart, cannot monitor count data with over/under dispersion efficiently.To monitor mean and dispersion of count data simultaneously, this paper adopts ...
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Philadelphia: Taylor and Francis, 2018
658 JIPE 35:4 (2018)
Artikel Jurnal Universitas Indonesia Library
