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AuthorRiaz, Muhammad
AuthorAbbasi, Saddam Akber
AuthorHamzat, Abdulhammed K.
AuthorAbid, Muhammad
Available date2023-05-28T10:11:28Z
Publication Date2020
Publication NameMathematics
ResourceScopus
URIhttp://dx.doi.org/10.3390/math8122136
URIhttp://hdl.handle.net/10576/43518
AbstractRecently, a homogeneously weighted moving average (HWMA) chart has been suggested for the efficient detection of small shifts in the process mean. In this study, we have proposed a new one-sided HWMA chart to effectively detect small changes in the process dispersion. The run-length (RL) profiles like the average RL, the standard deviation RL, and the median RL are used as the performance measures. The RL profile comparisons indicate that the proposed chart has a better performance than its existing counterpart's charts for detecting small shifts in the process dispersion. An application related to the Dhahran wind farm data is also part of this study.
SponsorFunding: This research work was supported by the Deanship of Scientific Research (DSR) at the King Fahd University of Petroleum and Minerals (KFUPM) under Project Number SB191030.
Languageen
PublisherMDPI AG
SubjectAverage run length
EWMA
HWMA
Processes dispersion
Small shifts
TitleA new hwma dispersion control chart with an application to wind farm data
TypeArticle
Pagination1-14
Issue Number12
Volume Number8
dc.accessType Open Access


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