Minimum distance estimation of the Lehmann receiver operating characteristic curve

DOI10.1080/02331888.2021.1960528zbMath1477.62278OpenAlexW3187852117MaRDI QIDQ5163047

Rafał Topolnicki, Alicja Jokiel-Rokita

Publication date: 8 November 2021

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888.2021.1960528

zbMATH Keywords

minimum distance estimationsemiparametric estimationreceiver operating characteristic curveclinical studybi-Weibull model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Exact distribution theory in statistics (62E15) Reliability and life testing (62N05)

Cites Work

• Unnamed Item
• Improving an estimator of Hsieh and Turnbull for the binormal ROC curve
• Nonparametric estimation of the ROC curve based on smoothed empirical distribution functions
• Modeling survival data: extending the Cox model
• Nonparametric and semiparametric estimation of the receiver operating characteristic curve
• Estimation of the ROC curve from the Lehmann family
• Minimum distance estimation of the binormal ROC curve
• Introduction to empirical processes and semiparametric inference
• The Minimum Distance Method
• Strong approximations for resample quantile processes and application to ROC methodology
• A General Approach to the Optimality of Minimum Distance Estimators
• Proportional hazards tests and diagnostics based on weighted residuals
• Minimum‐Norm Estimation for Binormal Receiver Operating Characteristic (ROC) Curves
• The Power of Rank Tests

This page was built for publication: Minimum distance estimation of the Lehmann receiver operating characteristic curve