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Regression Models for Convex ROC Curves

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  • Chris J. Lloyd

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  • Chris J. Lloyd, 2000. "Regression Models for Convex ROC Curves," Biometrics, The International Biometric Society, vol. 56(3), pages 862-867, September.
    • Handle: RePEc:bla:biomet:v:56:y:2000:i:3:p:862-867
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2000.00862.x
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    References listed on IDEAS

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    1. Donald Dorfman & Edward Alf, 1968. "Maximum likelihood estimation of parameters of signal detection theory—A direct solution," Psychometrika, Springer;The Psychometric Society, vol. 33(1), pages 117-124, March.
    2. D. A. Williams, 1982. "Extra‐Binomial Variation in Logistic Linear Models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 31(2), pages 144-148, June.
    3. Daryl Pregibon, 1980. "Goodness of Link Tests for Generalized Linear Models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(1), pages 15-24, March.
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    Cited by:

    1. Boulesteix, Anne-Laure & Tutz, Gerhard, 2006. "Identification of interaction patterns and classification with applications to microarray data," Computational Statistics & Data Analysis, Elsevier, vol. 50(3), pages 783-802, February.
    2. Hughes, G. & Madden, L. V., 2003. "Evaluating predictive models with application in regulatory policy for invasive weeds," Agricultural Systems, Elsevier, vol. 76(2), pages 755-774, May.
    3. Bhattacharya, Bhaskar & Hughes, Gareth, 2015. "On shape properties of the receiver operating characteristic curve," Statistics & Probability Letters, Elsevier, vol. 103(C), pages 73-79.
    4. Elisa–María Molanes-López & Ricardo Cao, 2008. "Relative density estimation for left truncated and right censored data," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 20(8), pages 693-720.

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