A new statistical process control method to monitor and diagnose bivariate normal mean vectors and covariance matrices simultaneously
- 18 October 2008
- journal article
- research article
- Published by Springer Science and Business Media LLC in The International Journal of Advanced Manufacturing Technology
- Vol. 43 (9-10), 964-981
- https://doi.org/10.1007/s00170-008-1774-0
Abstract
No abstract availableKeywords
This publication has 21 references indexed in Scilit:
- Fault Diagnosis in Multivariate Control Charts Using Artificial Neural NetworksQuality and Reliability Engineering International, 2005
- Multivariate Extensions to Cumulative Sum Control ChartsQuality and Reliability Engineering International, 2004
- A review of multivariate control chartsIIE Transactions, 1995
- Multivariate statistical process control—recent results and directions for future researchStatistica Neerlandica, 1994
- A Multivariate Exponentially Weighted Moving Average Control ChartTechnometrics, 1992
- Some Omnibus Exponentially Weighted Moving Average Statistical Process Monitoring SchemesTechnometrics, 1991
- Exponentially Weighted Moving Average Control Schemes: Properties and EnhancementsTechnometrics, 1990
- Selecting Out of Control Variables With the T 2 Multivariate Quality Control ProcedureJournal of the Royal Statistical Society: Series D (The Statistician), 1987
- Multivariate CUSUM Quality-Control ProceduresTechnometrics, 1985
- An approximation to the distribution of the sample correlation coefficientBiometrika, 1978