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Robust Procedures in Multivariate Analysis I: Robust Covariance Estimation

Citations

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Cited by:

  1. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
  2. Prieto, Francisco J., 1997. "Robust covariance matrix estimation and multivariate outlier detection," DES - Working Papers. Statistics and Econometrics. WS 10497, Universidad Carlos III de Madrid. Departamento de Estadística.
  3. Yang Yang & DeGruttola Victor, 2012. "Resampling-based Methods in Single and Multiple Testing for Equality of Covariance/Correlation Matrices," The International Journal of Biostatistics, De Gruyter, vol. 8(1), pages 1-32, June.
  4. M. Hosseini & R. G. Carpenter & K. Mohammad, 1998. "Identification of outlying height and weight data in the Iranian National Health Survey 1990-92," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(5), pages 601-612, June.
  5. Sudhanshu Kumar MISHRA, 2008. "A New Method Of Robust Linear Regression Analysis: Some Monte Carlo Experiments," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 3(3(5)_Fall), pages 261-268.
  6. Choulakian, V., 2001. "Robust Q-mode principal component analysis in L1," Computational Statistics & Data Analysis, Elsevier, vol. 37(2), pages 135-150, August.
  7. Ke-Hai Yuan & Linda Marshall & Peter Bentler, 2002. "A unified approach to exploratory factor analysis with missing data, nonnormal data, and in the presence of outliers," Psychometrika, Springer;The Psychometric Society, vol. 67(1), pages 95-121, March.
  8. Wessel N. van Wieringen & Carel F. W. Peeters & Renee X. de Menezes & Mark A. van de Wiel, 2018. "Testing for pathway (in)activation by using Gaussian graphical models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 67(5), pages 1419-1436, November.
  9. Essid, Hédi & Ouellette, Pierre & Vigeant, Stéphane, 2010. "Measuring efficiency of Tunisian schools in the presence of quasi-fixed inputs: A bootstrap data envelopment analysis approach," Economics of Education Review, Elsevier, vol. 29(4), pages 589-596, August.
  10. 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.
  11. Janz, Norbert, 1997. "Robust GMM Estimation of an Euler Equation Investment Model with German Firm Level Panel Data," ZEW Discussion Papers 97-05, ZEW - Leibniz Centre for European Economic Research.
  12. 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.
  13. Byungsoo Kim & Sangyeol Lee, 2014. "Minimum density power divergence estimator for covariance matrix based on skew $$t$$ t distribution," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 23(4), pages 565-575, November.
  14. Huo, Lijuan & Kim, Tae-Hwan & Kim, Yunmi, 2012. "Robust estimation of covariance and its application to portfolio optimization," Finance Research Letters, Elsevier, vol. 9(3), pages 121-134.
  15. Cevallos-Valdiviezo, Holger & Van Aelst, Stefan, 2019. "Fast computation of robust subspace estimators," Computational Statistics & Data Analysis, Elsevier, vol. 134(C), pages 171-185.
  16. Francesco Vidoli & Elisa Fusco & Claudio Mazziotta, 2015. "Non-compensability in Composite Indicators: A Robust Directional Frontier Method," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(3), pages 635-652, July.
  17. François Bavaud, 2011. "On the Schoenberg Transformations in Data Analysis: Theory and Illustrations," Journal of Classification, Springer;The Classification Society, vol. 28(3), pages 297-314, October.
  18. Ruiz-Gazen, Anne, 1996. "A very simple robust estimator of a dispersion matrix," Computational Statistics & Data Analysis, Elsevier, vol. 21(2), pages 149-162, February.
  19. Choulakian, V. & Allard, J. & Almhana, J., 2006. "Robust centroid method," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 737-746, November.
  20. Mishra, SK, 2008. "Robust Two-Stage Least Squares: some Monte Carlo experiments," MPRA Paper 9737, University Library of Munich, Germany.
  21. Aleš Toman, 2014. "Robust confirmatory factor analysis based on the forward search algorithm," Statistical Papers, Springer, vol. 55(1), pages 233-252, February.
  22. Kosinski, Andrzej S., 1998. "A procedure for the detection of multivariate outliers," Computational Statistics & Data Analysis, Elsevier, vol. 29(2), pages 145-161, December.
  23. repec:jss:jstsof:32:i03 is not listed on IDEAS
  24. Chrys Caroni & Nedret Billor, 2007. "Robust Detection of Multiple Outliers in Grouped Multivariate Data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(10), pages 1241-1250.
  25. Sudhanshu Kumar MISHRA, 2008. "Robust Two�Stage Least Squares: Some Monte Carlo Experiments," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 3(4(6)_Wint).
  26. Encarnación Álvarez-Verdejo & Pablo J. Moya-Fernández & Juan F. Muñoz-Rosas, 2021. "Single Imputation Methods and Confidence Intervals for the Gini Index," Mathematics, MDPI, vol. 9(24), pages 1-20, December.
  27. B. Baris Alkan & Cemal Atakan & Nesrin Alkan, 2015. "A comparison of different procedures for principal component analysis in the presence of outliers," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(8), pages 1716-1722, August.
  28. Kamiya, Hidehiko & Eguchi, Shinto, 2001. "A Class of Robust Principal Component Vectors," Journal of Multivariate Analysis, Elsevier, vol. 77(2), pages 239-269, May.
  29. Ke-Hai Yuan & Peter Bentler, 2000. "Robust mean and covariance structure analysis through iteratively reweighted least squares," Psychometrika, Springer;The Psychometric Society, vol. 65(1), pages 43-58, March.
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