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Communications in Statistics - Theory and Methods Volume 22, 1993 - Issue 6
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Original Articles

An application of lomax distributions in receiver operating characteristic(roc)curve analysis

Gregory Campbell National Institutes of Health, Bethesda, MD, 20892
&
Makarand V. Ratnaparkhi Wright State University, Dayton, OH, 45435
Pages 1681-1687 | Received 01 Nov 1991, Published online: 27 Jun 2007

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G. Siva. (2024) Matrix variate receiver operating characteristic curve for binary classification. Statistics 58:1, pages 1-8.
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Jabed H. Tomal, William J. Welch & Ruben H. Zamar. (2023) Robust ranking by ensembling of diverse models and assessment metrics. Journal of Statistical Computation and Simulation 93:1, pages 77-102.
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Baria A. Helmy, Amal S. Hassan & Ahmed K. El-Kholy. (2021) Analysis of uncertainty measure using unified hybrid censored data with applications. Journal of Taibah University for Science 15:1, pages 1130-1143.
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Sudesh Pundir & R. Amala. (2015) Detecting diagnostic accuracy of two biomarkers through a bivariate log-normal ROC curve. Journal of Applied Statistics 42:12, pages 2671-2685.
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R. Amala & Sudesh Pundir. (2015) ROC Curve and AUC for A Left-Truncated Sample from Rayleigh Distribution. American Journal of Mathematical and Management Sciences 34:2, pages 89-116.
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ChrisJ. Lloyd. (1998) Using Smoothed Receiver Operating Characteristic Curves to Summarize and Compare Diagnostic Systems. Journal of the American Statistical Association 93:444, pages 1356-1364.
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Articles from other publishers (16)

Maha E. Qura, Aisha Fayomi, Mutua Kilai & Ehab M. Almetwally. (2023) Bivariate power Lomax distribution with medical applications. PLOS ONE 18:3, pages e0282581.
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Hussein Jabbar Mohammed & Maha A. Mohammed. Solving the created ordinary differential equations from Lomax distribution. Solving the created ordinary differential equations from Lomax distribution.
Romulus Costache, Alina Barbulescu & Quoc Pham. (2021) Integrated Framework for Detecting the Areas Prone to Flooding Generated by Flash-Floods in Small River Catchments. Water 13:6, pages 758.
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Muhammad Ahsan ul Haq, G. Srinivasa Rao, Mohammed Albassam & Muhammad Aslam. (2020) Marshall–Olkin Power Lomax distribution for modeling of wind speed data. Energy Reports 6, pages 1118-1123.
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Elebe Emmanuel Nwezza & Fidelis Ifeanyi Ugwuowo. (2020) The Marshall-Olkin Gumbel-Lomax distribution: properties and applications. Heliyon 6:3, pages e03569.
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N. Chandra & Mashroor Ahmad Khan. (2018) Analysis and Optimum Plan for 3-Step Step-Stress Accelerated Life Tests with Lomax Model Under Progressive Type-I Censoring. Communications in Mathematics and Statistics 6:1, pages 73-90.
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Kathleen F Kerr, Jeremy Roth, Kehao Zhu, Heather Thiessen-Philbrook, Allison Meisner, Francis Perry Wilson, Steven Coca & Chirag R Parikh. (2017) Evaluating biomarkers for prognostic enrichment of clinical trials. Clinical Trials 14:6, pages 629-638.
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Ying Huang, Margaret S. Pepe & Ziding Feng. (2013) Logistic regression analysis with standardized markers. The Annals of Applied Statistics 7:3.
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Fang-fang Bai & Yong Zhou. (2013) Kernel estimators of the ROC Curve with censored data. Acta Mathematicae Applicatae Sinica, English Series 29:1, pages 43-54.
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Johan Lim & Joong-Ho Won. (2012) ROC convex hull and nonparametric maximum likelihood estimation. Machine Learning 88:3, pages 433-444.
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Ertugrul Colak, Fezan Mutlu, Cengiz Bal, Setenay Oner, Kazim Ozdamar, Bulent Gok & Yuksel Cavusoglu. (2012) Comparison of Semiparametric, Parametric, and Nonparametric ROC Analysis for Continuous Diagnostic Tests Using a Simulation Study and Acute Coronary Syndrome Data. Computational and Mathematical Methods in Medicine 2012, pages 1-7.
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Yong Zhou, Haibo Zhou & Yunbei Ma. (2011) Smooth estimation of ROC curve in the presence of auxiliary information. Journal of Systems Science and Complexity 24:5, pages 919-944.
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Kyeong-Eun Lee & Johan Lim. (2011) NONPARAMETRIC MAXIMUM LIKELIHOOD ESTIMATION OF A CONCAVE RECEIVER OPERATING CHARACTERISTIC CURVE VIA GEOMETRIC PROGRAMMING. Bulletin of the Korean Mathematical Society 48:3, pages 523-537.
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Y. Huang & M. S. Pepe. (2009) A Parametric ROC Model‐Based Approach for Evaluating the Predictiveness of Continuous Markers in Case–Control Studies. Biometrics 65:4, pages 1133-1144.
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Chris J. Lloyd. (2002) Estimation of a convex ROC curve. Statistics & Probability Letters 59:1, pages 99-111.
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Chris J. Lloyd. (2004) Regression Models for Convex ROC Curves. Biometrics 56:3, pages 862-867.
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