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FINDING CAUSES OF OUTLIERS IN MULTIVARIATE ENVIRONMENTAL DATA
引用本文:FOREST C.GARNER MARTIN A.STAPANIAN KIRK E.FITZGERALD Lockheed Engineering and Sciences Co.,E.Flamingo R,Las Vegas,NV,U.S.A.. FINDING CAUSES OF OUTLIERS IN MULTIVARIATE ENVIRONMENTAL DATA[J]. 地理学报(英文版), 1991, 0(3)
作者姓名:FOREST C.GARNER MARTIN A.STAPANIAN KIRK E.FITZGERALD Lockheed Engineering and Sciences Co.  E.Flamingo R  Las Vegas  NV  U.S.A.
作者单位:FOREST C.GARNER MARTIN A.STAPANIAN KIRK E.FITZGERALD Lockheed Engineering and Sciences Co.,1050 E.Flamingo Rd,Las Vegas,NV 89119,U.S.A.
摘    要:
Multivariate outliers in environmental data sets are often caused by atypical measurement error in a singlevariable.From a quality assurance perspective it is important to identify these variables efficiently so thatcorrective actions may be performed.We demonstrate a procedure for using two multivariate tests toidentify which variable‘caused’each outlier.The procedure is tested with simulated data sets that havethe same correlation structure as selected water chemistry variables from a survey of lakes in the WesternUnited States.The success rates are evaluated for three of the variables for sample sizes of 50 and 100,significance levels of 0.01 and 0.05 and various amounts of mean shift.The procedure works best forhighly correlated variables.


FINDING CAUSES OF OUTLIERS IN MULTIVARIATE ENVIRONMENTAL DATA
FOREST C.GARNER MARTIN A.STAPANIAN KIRK E.FITZGERALD Lockheed Engineering and Sciences Co.,E.Flamingo R,Las Vegas,NV,U.S.A.. FINDING CAUSES OF OUTLIERS IN MULTIVARIATE ENVIRONMENTAL DATA[J]. Journal of Geographical Sciences, 1991, 0(3)
Authors:FOREST C.GARNER MARTIN A.STAPANIAN KIRK E.FITZGERALD Lockheed Engineering  Sciences Co.  E.Flamingo R  Las Vegas  NV  U.S.A.
Abstract:
Keywords:Multivariate kurtosis  Generalized distance  Multivariate outliers
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