The Grand Tour as a Method for Detecting Multivariate Outliers
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چکیده
A method of viewing multivariate data vectors and identifying among them outliers is described. The method is applied to two sets of benchmark data: Brownee's stack-loss data and Hawkins{Bradu{Kass data. All the outliers contained in these data are easily identiied. Generally, it is expected that the method will yield good results (i.e. will nd the outliers) for data having elliptical or nearly elliptical distributions.tation of points from multivariate space, Sequential rotations and projections.
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تاریخ انتشار 1997