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One-sided EWMA control charts for monitoring Poisson processes with varying sample sizes
Zhou,Qin1; Shu,Lianjie2; Jiang,Wei3
2016-10-17
Source PublicationCommunications in Statistics - Theory and Methods
ISSN1532415X 03610926
Volume45Issue:20Pages:6112-6132
Abstract

ABSTRACT: Recently considerable research has been devoted to monitoring increases of incidence rate of adverse rare events. This paper extends some one-sided upper exponentially weighted moving average (EWMA) control charts from monitoring normal means to monitoring Poisson rate when sample sizes are varying over time. The approximated average run length bounds are derived for these EWMA-type charts and compared with the EWMA chart previously studied. Extensive simulations have been conducted to compare the performance of these EWMA-type charts. An illustrative example is given.

KeywordAverage Run Length Control Chart Exponentially Weighted Moving Average Statistical Process Control
DOI10.1080/03610926.2014.957853
URLView the original
Indexed BySCIE
Language英语
WOS Research AreaMathematics
WOS SubjectStatistics & Probability
WOS IDWOS:000381578700017
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Cited Times [WOS]:6   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF ACCOUNTING AND INFORMATION MANAGEMENT
Corresponding AuthorJiang,Wei
Affiliation1.School of Mathematical Sciences,Jiangsu Normal University,,Xuzhou,China
2.Faculty of Business,University of Macau,,Macau,Macao
3.Antai College of Economics and Management,Shanghai Jiao Tong University,,Shanghai,China
Recommended Citation
GB/T 7714
Zhou,Qin,Shu,Lianjie,Jiang,Wei. One-sided EWMA control charts for monitoring Poisson processes with varying sample sizes[J]. Communications in Statistics - Theory and Methods,2016,45(20):6112-6132.
APA Zhou,Qin,Shu,Lianjie,&Jiang,Wei.(2016).One-sided EWMA control charts for monitoring Poisson processes with varying sample sizes.Communications in Statistics - Theory and Methods,45(20),6112-6132.
MLA Zhou,Qin,et al."One-sided EWMA control charts for monitoring Poisson processes with varying sample sizes".Communications in Statistics - Theory and Methods 45.20(2016):6112-6132.
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