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Control Charts for Dispersed Count Data: An Overview
Author(s) -
Saghir Aamir,
Lin Zhengyan
Publication year - 2015
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.1642
Subject(s) - count data , control chart , poisson distribution , computer science , statistical process control , limiting , chart , control (management) , poisson regression , statistics , operations research , data mining , engineering , mathematics , artificial intelligence , population , medicine , process (computing) , operating system , mechanical engineering , environmental health
Control charts based on the Poisson distribution are commonly used to monitor count data in attributes. However, the Poisson distribution is based on the underlying equidispersion assumption that is limiting as discussed by different researchers in the literature. Therefore, a generalized control chart is required that can be used to monitor both overdispersed and underdispersed count data. This article reviews the methods to implement for dispersed count data and present ideas for future work in this area. A comprehensive literature review for researchers and practitioners is presented in this article. Copyright © 2014 John Wiley & Sons, Ltd.