Módszerek összehasonlítása

	CUSUM ellenőrző kártya	MEWMA diagram – Többváltozós EWMA szabályozó diagram
Tudományterület	Statisztika	Statisztika
Módszercsalád	Process / pipeline	Process / pipeline
Keletkezés éve	1954	1992
Megalkotó	E. S. Page	Lowry, Woodall, Champ & Rigdon
Típus	Statistical process control chart for small shifts	Multivariate sequential monitoring chart
Alapmű	Page, E. S. (1954). Continuous inspection schemes. Biometrika, 41(1/2), 100–115.	Lowry, C. A., Woodall, W. H., Champ, C. W., & Rigdon, S. E. (1992). A multivariate exponentially weighted moving average control chart. Technometrics, 34(1), 46–53.
Alternatív nevek	cumulative sum chart, CUSUM control chart, Page's CUSUM, kümülatif toplam kontrol kartı	Multivariate Exponentially Weighted Moving Average Chart, MEWMA Control Chart, Vector EWMA Chart, Çok Değişkenli EWMA Kontrol Grafiği
Kapcsolódó	4	2
Összefoglaló	The cumulative sum (CUSUM) control chart, introduced by E. S. Page in 1954, monitors a process by accumulating the deviations of observations from a target value rather than judging each point in isolation. Because small persistent shifts add up over time, the running sum makes them visible far sooner than a Shewhart chart, making CUSUM the tool of choice for detecting small, sustained changes in the process mean.	The Multivariate EWMA (MEWMA) control chart is a statistical process monitoring method designed to detect small and sustained shifts in the mean vector of a multivariate process. Introduced by Lowry, Woodall, Champ, and Rigdon in 1992, it extends the univariate EWMA chart to p-dimensional observation vectors by computing an exponentially weighted moving average of successive measurement vectors and charting a Hotelling-type quadratic form against a control limit determined by a target average run length.