|
| << vorige | volgende >> |
Tijdschrift beschrijving
Alle jaargangen van het bijbehorende tijdschrift
Alle afleveringen van het bijbehorende jaargang
Alle artikelen van de bijbehorende aflevering
Details van artikel 14 van 26 gevonden artikelen
| Titel: |
EVVMA and cusum control charts in the presence of correlation |
| Auteur: |
Vanbrackle, Lewis N. Reynolds, Marion R. |
| Verschenen in: |
Communications in statistics |
| Paginering: | Jaargang 26 (1997) nr. 3 pagina's 979-1008 |
| Jaar: |
1997 |
| Inhoud: |
The statistical properties of control charts are usually evaluated under the assumption that the observations from the process are independent. For many processes however, observations which are closely spaced in time will be correlated. This paper considers EWMA and CUSUM control charts for the process mean when the observations are from an AR(1) process with additional random error. This simple model may be a reasonable model for many processes encountered in practice. The ARL and steady state ARL of the EWMA and CUSUM charts are evaluated numerically using an integral equation approach and a Markov chain approach. The numerical results show that correlation can have a significant effect on the properties of these charts. Tables are given to aid in the design of these charts when the observations follow the assumed model. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 14 van 26 gevonden artikelen
| << vorige | volgende >> |