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Robust tests for linear regression models based on τ-estimates

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HIGH BREAKDOWN-POINT, BOUNDED-INFLUENCE TESTS, S-ESTIMATORS, BOOTSTRAP, SCALE, Robust statistics, Robust tests, Linear regression

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MLA
Salibian-Barrera, Matias, et al. “Robust Tests for Linear Regression Models Based on τ-Estimates.” COMPUTATIONAL STATISTICS & DATA ANALYSIS, vol. 93, 2016, pp. 436–55, doi:10.1016/j.csda.2014.09.012.
APA
Salibian-Barrera, M., Van Aelst, S., & Yohai, V. J. (2016). Robust tests for linear regression models based on τ-estimates. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 93, 436–455. https://doi.org/10.1016/j.csda.2014.09.012
Chicago author-date
Salibian-Barrera, Matias, Stefan Van Aelst, and Victor J Yohai. 2016. “Robust Tests for Linear Regression Models Based on τ-Estimates.” COMPUTATIONAL STATISTICS & DATA ANALYSIS 93: 436–55. https://doi.org/10.1016/j.csda.2014.09.012.
Chicago author-date (all authors)
Salibian-Barrera, Matias, Stefan Van Aelst, and Victor J Yohai. 2016. “Robust Tests for Linear Regression Models Based on τ-Estimates.” COMPUTATIONAL STATISTICS & DATA ANALYSIS 93: 436–455. doi:10.1016/j.csda.2014.09.012.
Vancouver
1.
Salibian-Barrera M, Van Aelst S, Yohai VJ. Robust tests for linear regression models based on τ-estimates. COMPUTATIONAL STATISTICS & DATA ANALYSIS. 2016;93:436–55.
IEEE
[1]
M. Salibian-Barrera, S. Van Aelst, and V. J. Yohai, “Robust tests for linear regression models based on τ-estimates,” COMPUTATIONAL STATISTICS & DATA ANALYSIS, vol. 93, pp. 436–455, 2016.
@article{8513431,
  author       = {{Salibian-Barrera, Matias and Van Aelst, Stefan and Yohai, Victor J}},
  issn         = {{0167-9473}},
  journal      = {{COMPUTATIONAL STATISTICS & DATA ANALYSIS}},
  keywords     = {{HIGH BREAKDOWN-POINT,BOUNDED-INFLUENCE TESTS,S-ESTIMATORS,BOOTSTRAP,SCALE,Robust statistics,Robust tests,Linear regression}},
  language     = {{eng}},
  pages        = {{436--455}},
  title        = {{Robust tests for linear regression models based on τ-estimates}},
  url          = {{http://doi.org/10.1016/j.csda.2014.09.012}},
  volume       = {{93}},
  year         = {{2016}},
}

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