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Goodness-of-fit tests and function estimators for receiver operating characteristic (ROC) curves: Inference from perpendicular distances

机译：接收机工作特性（ROC）曲线的拟合优度测试和功能估计器：垂直距离的推断

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作者
Patterson, R. Bradley.;
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作者单位

George Mason University.;

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授予单位 George Mason University.;
学科
学位 Ph.D.
年度 2012
页码 283 p.
总页数 283
原文格式 PDF
正文语种 eng
中图分类
关键词
入库时间 2022-08-17 11:56:12

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3. Semiparametric inference for a quantile comparison function with applications to receiver operating characteristic curves [J] . Gang Li, Ram C. Tiwari, Martin T. Wells Biometrika . 1999,第3期

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4. Improving k-Nearest Neighbour Classificationwith Distance Functions Based on Receiver Operating Characteristics [C] . Md. Rafiul Hassan, M. Maruf Hossain, James Bailey, European Conference on Machine Learning and Knowledge Discovery in Databases;ECML PKDD 2008 . 2008

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5. Evaluating Machine Learning Methods: scored Receiver Operating Characteristics (sROC) Curves. [D] . Klement, William. 2010

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6. Sensitivity Specificity Receiver-Operating Characteristic (ROC) Curves and Likelihood Ratios: Communicating the Performance of Diagnostic Tests [O] . Christopher M Florkowski 2008

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7. A global goodness-of-fit test for receiver operating characteristic curve analysis via the bootstrap method [O] . Zou Kelly H., Resnic Frederic S., Talos Ion-Florin, 2005

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Goodness-of-fit tests and function estimators for receiver operating characteristic (ROC) curves: Inference from perpendicular distances

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