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ARMAsel for Detection and Correction of Outliers in Univariate Stochastic Data

✍ Scribed by Broersen, P.M.T.


Book ID
114630801
Publisher
IEEE
Year
2008
Tongue
English
Weight
611 KB
Volume
57
Category
Article
ISSN
0018-9456

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Rohlf (1975, Biometrics 31, 93-101) proposed a method of detecting outliers in multivariate data by testing the largest edge of the minimum spanning tree. It is shown here that tests against the gamma distribution are extremely liberal. Furthermore, results depend on the correlation structure of the