文章基本信息

标题：The Multivariate EWMA Model and Health Care Monitoring
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作者：Xia Pan ; Jeffrey E Jarrett
期刊名称：International Journal of Economics & Management Sciences
电子版ISSN：2162-6359
出版年度：2014
卷号：3
期号：2
DOI：10.4172/2162-6359.1000176
语种：English
出版社：OMICS International
摘要：We introduce the construction of MEWMA (Multivariate exponentially weighted moving average) process control in the field of bio surveillance. Such introduction will both improve the reliability of data collected in bio surveillance, better interpretation of the results, improvement in the quality of results and standardization of results when more than two variables are involved. We propose sensitivity ratios as a measure of the effects of the mean shift and dispersion shift in processes under study. Using these sensitivity measures, we designed the optimal exponential weighting factor, which is consistent to results reported in control chart applications. Although ARL (average run length) is the usual measure for control chart performance in multivariate process control, it is by no means the only criterion, however, at the moment it is most widely used criterion for decision making. We suggest addition study of other criteria. For example Medial Run Length, Days to Completion, Direction of Eorrors and others.
关键词：Multivariate EWMA