Communications for Statistical Applications and Methods

  • 제19권4호
  • /
  • Pages.629-638
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  • 2012
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  • 2287-7843(pISSN)
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  • 2383-4757(eISSN)
한국통계학회 (The Korean Statistical Society)
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Bivariate ROC Curve and Optimal Classification Function

  • Hong, C.S. (Department of Statistics, Sungkyunkwan University) ;
  • Jeong, J.A. (Research Institute of Applied Statistics, Sungkyunkwan University)
  • 투고 : 2012.05.14
  • 심사 : 2012.07.13
  • 발행 : 2012.07.31
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초록

We propose some methods to obtain optimal thresholds and classification functions by using various cutoff criterion based on the bivariate ROC curve that represents bivariate cumulative distribution functions. The false positive rate and false negative rate are calculated with these classification functions for bivariate normal distributions.

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참고문헌

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  3. Hong, C. S., Kim, G. C. and Jeong, J. A. (2012). Bivariate ROC curve, The Korean Journal of Applied Statistics, 19, 277-286. https://doi.org/10.5351/CKSS.2012.19.2.277
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