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The largest nonidentifiable outlier: a comparison of multivariate simultaneous outlier identification rules

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  • Becker, Claudia
  • Gather, Ursula

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  • Becker, Claudia & Gather, Ursula, 2001. "The largest nonidentifiable outlier: a comparison of multivariate simultaneous outlier identification rules," Computational Statistics & Data Analysis, Elsevier, vol. 36(1), pages 119-127, March.
  • Handle: RePEc:eee:csdana:v:36:y:2001:i:1:p:119-127
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    Cited by:

    1. Boente, Graciela & Pires, Ana M. & Rodrigues, Isabel M., 2010. "Detecting influential observations in principal components and common principal components," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 2967-2975, December.
    2. Gather, Ursula & Davies, P. Laurie, 2004. "Robust Statistics," Papers 2004,20, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
    3. Meltem Ekiz & O.Ufuk Ekiz, 2017. "Outlier detection with Mahalanobis square distance: incorporating small sample correction factor," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(13), pages 2444-2457, October.
    4. Kirschstein, Thomas & Liebscher, Steffen & Becker, Claudia, 2013. "Robust estimation of location and scatter by pruning the minimum spanning tree," Journal of Multivariate Analysis, Elsevier, vol. 120(C), pages 173-184.
    5. Rob J. Hyndman & Han Lin Shang, 2008. "Rainbow plots, Bagplots and Boxplots for Functional Data," Monash Econometrics and Business Statistics Working Papers 9/08, Monash University, Department of Econometrics and Business Statistics.
    6. Jürgen Wellmann & Ursula Gather, 2003. "Identification of outliers in a one-way random effects model," Statistical Papers, Springer, vol. 44(3), pages 335-348, July.
    7. Unkel, S. & Trendafilov, N.T., 2010. "A majorization algorithm for simultaneous parameter estimation in robust exploratory factor analysis," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3348-3358, December.
    8. Graciela Boente & Matías Salibian-Barrera, 2015. "S -Estimators for Functional Principal Component Analysis," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(511), pages 1100-1111, September.

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