Detecting shifts in Conway–Maxwell–Poisson profile with deviance residual-based CUSUM and EWMA chart...
Detecting shifts in Conway–Maxwell–Poisson profile with deviance residual-based CUSUM and EWMA charts under multicollinearity
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Berlin/Heidelberg: Springer Berlin Heidelberg
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Language
English
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Berlin/Heidelberg: Springer Berlin Heidelberg
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Monitoring profiles with count responses is a common situation in industrial processes and for a count distributed process, the Conway–Maxwell–Poisson (COM-Poisson) regression model yields better outcomes for under- and overdispersed count variables. In this study, we propose CUSUM and EWMA charts based on the deviance residuals obtained from the C...
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Full title
Detecting shifts in Conway–Maxwell–Poisson profile with deviance residual-based CUSUM and EWMA charts under multicollinearity
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TN_cdi_proquest_journals_2972958053
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2972958053
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ISSN
0932-5026
E-ISSN
1613-9798
DOI
10.1007/s00362-023-01399-z