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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 chart...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2972958053

Detecting shifts in Conway–Maxwell–Poisson profile with deviance residual-based CUSUM and EWMA charts under multicollinearity

About this item

Full title

Detecting shifts in Conway–Maxwell–Poisson profile with deviance residual-based CUSUM and EWMA charts under multicollinearity

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

Statistical papers (Berlin, Germany), 2024-04, Vol.65 (2), p.597-643

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

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...

Alternative Titles

Full title

Detecting shifts in Conway–Maxwell–Poisson profile with deviance residual-based CUSUM and EWMA charts under multicollinearity

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2972958053

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2972958053

Other Identifiers

ISSN

0932-5026

E-ISSN

1613-9798

DOI

10.1007/s00362-023-01399-z

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