Testing for Multivariate Outliers in the Presence of Missing Data

--We consider the problem of multivariate outlier testing for purposes of distinguishing seismic signals of underground nuclear events from training samples based on non-nuclear seismic events when certain data are missing. We consider the case in which the training data follow a multivariate normal...

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Veröffentlicht in:	Pure and applied geophysics 2002-02, Vol.159 (4), p.889-903
Hauptverfasser:	Woodward, W. A., Sain, S. R., Gray, H. L., Zhao, B.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Geophysics Mathematical analysis Missing data Multivariate analysis Nuclear tests Seismic activity Seismic engineering Seismic phenomena Seismology Strategy Training Vectors (mathematics)
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