On multivariate control charts
Industrial production requires multivariate control charts to enable monitoring of several components. Recently there has been an increased interest also in other areas such as detection of bioterrorism, spatial surveillance and transaction strategies in finance. In the literature, several types of multivariate counterparts to the univariate Shewhart, EWMA and CUSUM methods have been proposed. We review general approaches to multivariate control chart. Suggestions are made on the special challenges of evaluating multivariate surveillance methods.
|Date of creation:||10 Feb 2011|
|Publication status:||Published as Frisén, Marianne, 'On multivariate control charts' in Producao, 2011, pages 235-241.|
|Contact details of provider:|| Postal: Statistical Research Unit, University of Gothenburg, Box 640, SE 40530 GÖTEBORG|
Web page: http://www.statistics.gu.se/
References listed on IDEAS
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- Marianne Frisen & Eva Andersson & Linus Schioler, 2010.
"Evaluation of multivariate surveillance,"
Journal of Applied Statistics,
Taylor & Francis Journals, vol. 37(12), pages 2089-2100.
- Frisén, Marianne & Andersson, Eva & Schiöler, Linus, 2009. "Evaluation of multivariate surveillance," Research Reports 2009:1, Statistical Research Unit, Department of Economics, School of Business, Economics and Law, University of Gothenburg.
- Vasyl Golosnoy, 2007. "Sequential monitoring of minimum variance portfolio," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 91(1), pages 39-55, March.
- S. Knoth, 2002. "Monitoring the mean and the variance of a stationary process," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 56(1), pages 77-100.
- Arthur Yeh & Dennis Lin & Honghong Zhou & Chandramouliswaran Venkataramani, 2003. "A multivariate exponentially weighted moving average control chart for monitoring process variability," Journal of Applied Statistics, Taylor & Francis Journals, vol. 30(5), pages 507-536.
- Clare Marshall & Nicky Best & Alex Bottle & Paul Aylin, 2004. "Statistical issues in the prospective monitoring of health outcomes across multiple units," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(3), pages 541-559. Full references (including those not matched with items on IDEAS)
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