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Vardeman, S. B. and Morris, M. D. (2013), "Majority Voting by Independent Classifiers can Increase Error Rates," The American Statistician, 67, 94-96: Comment by Baker, Xu, Hu, and Huang and Reply

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  • Stuart Baker
  • Jian-Lun Xu
  • Ping Hu
  • Peng Huang

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  • Stuart Baker & Jian-Lun Xu & Ping Hu & Peng Huang, 2014. "Vardeman, S. B. and Morris, M. D. (2013), "Majority Voting by Independent Classifiers can Increase Error Rates," The American Statistician, 67, 94-96: Comment by Baker, Xu, Hu, and Huang and," The American Statistician, Taylor & Francis Journals, vol. 68(2), pages 125-126, May.
    • Handle: RePEc:taf:amstat:v:68:y:2014:i:2:p:125-126
    DOI: 10.1080/00031305.2014.882867
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    References listed on IDEAS

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    1. Baker, Stuart G. & Kramer, Barnett S., 2007. "Peirce, Youden, and Receiver Operating Characteristic Curves," The American Statistician, American Statistical Association, vol. 61, pages 343-346, November.
    2. Stephen B. Vardeman & Max D. Morris, 2013. "Majority Voting by Independent Classifiers Can Increase Error Rates," The American Statistician, Taylor & Francis Journals, vol. 67(2), pages 94-96, May.
    3. Margaret Pepe & Holly Janes & Gary Longton & Wendy Leisenring & Polly Newcomb, 2004. "Limitations of the Odds Ratio in Gauging the Performance of a Diagnostic or Prognostic Marker," UW Biostatistics Working Paper Series 1035, Berkeley Electronic Press.
    4. Vickers, Andrew J, 2008. "Decision Analysis for the Evaluation of Diagnostic Tests, Prediction Models, and Molecular Markers," The American Statistician, American Statistical Association, vol. 62(4), pages 314-320.
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