Bandingkan metode
Tinjau metode pilihan Anda berdampingan; baris yang berbeda akan disorot.
| Diagram Kendali CUSUM× | Diagram MEWMA× | |
|---|---|---|
| Bidang | Statistika | Statistika |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 1954 | 1992 |
| Pencetus≠ | E. S. Page | Lowry, Woodall, Champ & Rigdon |
| Tipe≠ | Statistical process control chart for small shifts | Multivariate sequential monitoring chart |
| Sumber perintis≠ | Page, E. S. (1954). Continuous inspection schemes. Biometrika, 41(1/2), 100–115. DOI ↗ | 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. DOI ↗ |
| Alias | 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 |
| Terkait≠ | 4 | 2 |
| Ringkasan≠ | 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. |
| ScholarGateSet data ↗ |
|
|