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Principal components analysis based on multivariate MM estimators with fast and robust bootstrap

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MLA
SALIBIAN-BARRERA, M., et al. “Principal Components Analysis Based on Multivariate MM Estimators with Fast and Robust Bootstrap.” JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, vol. 101, no. 475, AMER STATISTICAL ASSOC, 2006, pp. 1198–211.
APA
SALIBIAN-BARRERA, M., Van Aelst, S., & Willems, G. (2006). Principal components analysis based on multivariate MM estimators with fast and robust bootstrap. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 101(475), 1198–1211.
Chicago author-date
SALIBIAN-BARRERA, M, Stefan Van Aelst, and Gert Willems. 2006. “Principal Components Analysis Based on Multivariate MM Estimators with Fast and Robust Bootstrap.” JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION 101 (475): 1198–1211.
Chicago author-date (all authors)
SALIBIAN-BARRERA, M, Stefan Van Aelst, and Gert Willems. 2006. “Principal Components Analysis Based on Multivariate MM Estimators with Fast and Robust Bootstrap.” JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION 101 (475): 1198–1211.
Vancouver
1.
SALIBIAN-BARRERA M, Van Aelst S, Willems G. Principal components analysis based on multivariate MM estimators with fast and robust bootstrap. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. 2006;101(475):1198–211.
IEEE
[1]
M. SALIBIAN-BARRERA, S. Van Aelst, and G. Willems, “Principal components analysis based on multivariate MM estimators with fast and robust bootstrap,” JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, vol. 101, no. 475, pp. 1198–1211, 2006.
@article{352335,
  author       = {{SALIBIAN-BARRERA, M and Van Aelst, Stefan and Willems, Gert}},
  issn         = {{0162-1459}},
  journal      = {{JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION}},
  language     = {{eng}},
  number       = {{475}},
  pages        = {{1198--1211}},
  publisher    = {{AMER STATISTICAL ASSOC}},
  title        = {{Principal components analysis based on multivariate MM estimators with fast and robust bootstrap}},
  volume       = {{101}},
  year         = {{2006}},
}

Web of Science
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