Areas beneath the relative operating characteristics (ROC) and relative operating levels (ROL) curves: Statistical significance and interpretation

  title={Areas beneath the relative operating characteristics (ROC) and relative operating levels (ROL) curves: Statistical significance and interpretation},
  author={Simon J. Mason and Nicholas E. Graham},
  journal={Quarterly Journal of the Royal Meteorological Society},
  • S. Mason, N. Graham
  • Published 1 July 2002
  • Environmental Science
  • Quarterly Journal of the Royal Meteorological Society
The areas beneath the relative (or receiver) operating characteristics (ROC) and relative operating levels (ROL) curves can be used as summary measures of forecast quality, but statistical significance tests for these areas are conducted infrequently in the atmospheric sciences. A development of signal‐detection theory, the ROC curve has been widely applied in the medical and psychology fields where significance tests and relationships to other common statistical methods have been established… 

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Receiver operating characteristic - Wikipedia, the free encyclopedia

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  • 2015
In statistics, a receiver operating characteristic (ROC), or ROC curve, is a graphical plot that illustrates the performance of a binary classifier system as its discrimination threshold is varied.

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  • R. CentorJ. Schwartz
  • Mathematics
    Medical decision making : an international journal of the Society for Medical Decision Making
  • 1985
Generally, the nonparametric method yields lower area estimates than the maximum-likelihood-estimation technique, however, these differences generally were small, particularly with ROC curves derived from five or more cutoff points.

Comparing the Areas under More Than Two Independent ROC Curves

  • D. McClish
  • Mathematics
    Medical decision making : an international journal of the Society for Medical Decision Making
  • 1987
The F test is recommended as the method of choice for comparing the areas, although for balanced designs the SR test, with its com putational simplicity, may be preferred.

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The Area under the ROC Curve and Its Competitors

  • J. Hilden
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    Medical decision making : an international journal of the Society for Medical Decision Making
  • 1991
The area under the receiver operating characteristic (ROC) curve is shown here to be an inconsistent criterion: tests of indistinguishable clinical impacts may have different areas and a class of diagnosticity measures (DMs) of proven optimality is proposed instead.

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