Directionally Sensitive MCUSUM and MEWMA Procedures with Application to Biosurveillance

dc.contributor.authorFricker, Ronald D. Jr.en
dc.contributor.authorKnitt, MCen
dc.contributor.authorHu, CXen
dc.contributor.departmentStatisticsen
dc.date.accessioned2016-12-28T01:16:55Zen
dc.date.available2016-12-28T01:16:55Zen
dc.date.issued2008en
dc.description.abstractThis paper compares the performance of two new directionally-sensitive multivariate methods, based on the multivariate CUSUM (MCUSUM) and the multivariate exponentially weighted moving average (MEWMA), for biosurveillance. While neither of these methods is currently in use in a biosurveillance system, they are among the most promising multivariate methods for this application. Our analysis is based on a detailed series of simulations using synthetic biosurveillance data that mimics various types of disease background incidence and outbreaks. We apply the MCUSUM and the MEWMA to residuals from an adaptive regression that accounts for the systematic effects normally present in biosurveillance data. We find that, much like the results from univariate CUSUM and EWMA comparisons in classical statistical process control applications, the directionally-sensitive MCUSUM and MEWMA perform very similarly.en
dc.description.notesBecause the authors were US Government employees at the time of publication, the publisher does not hold the copyright.en
dc.description.versionPublished versionen
dc.format.extent478 - 494 page(s)en
dc.identifier.urihttp://hdl.handle.net/10919/73850en
dc.identifier.volume20en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleDirectionally Sensitive MCUSUM and MEWMA Procedures with Application to Biosurveillanceen
dc.title.serialQuality Engineeringen
dc.typeArticle - Refereeden
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Scienceen
pubs.organisational-group/Virginia Tech/Science/COS T&R Facultyen
pubs.organisational-group/Virginia Tech/Science/Statisticsen

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