MICHÁLEK, Jaroslav, Lucie DOUDOVÁ and Marek SEDLAČÍK. A comparison of two parametric ROC curves estimators in binormal model. In Proceedings of the 23rd International Conference Mathematical methods in Economics 2005. Hradec Králové: GAUDEAMUS Univerzita Hradec Králové,, 2005, p. 256 - 261, 11 pp. ISBN 80-7041-53.
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Basic information
Original name A comparison of two parametric ROC curves estimators in binormal model
Name in Czech Srovnání parametrických odhadů ROC křivek v binormálním modelu
Authors MICHÁLEK, Jaroslav (203 Czech Republic, guarantor), Lucie DOUDOVÁ (203 Czech Republic) and Marek SEDLAČÍK (203 Czech Republic).
Edition Hradec Králové, Proceedings of the 23rd International Conference Mathematical methods in Economics 2005, p. 256 - 261, 11 pp. 2005.
Publisher GAUDEAMUS Univerzita Hradec Králové,
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10103 Statistics and probability
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14560/05:00012540
Organization unit Faculty of Economics and Administration
ISBN 80-7041-53
UT WoS 000260962400041
Keywords in English ROC curve; CDF; empirical CDF; the weighted regression estimator; simulations
Tags CDF, empirical CDF, ROC curve, simulations, the weighted regression estimator
Changed by Changed by: doc. RNDr. Jaroslav Michálek, CSc., učo 61. Changed: 28/11/2005 17:39.
Abstract
The receiver operating characteristic curve ROC(t) plays an important role in many economic branches when it is necessary to classify between two populations. There are several approaches how to estimate it: classical estimator based on the empirical CDF, the weighted regression estimator, the estimator based on the best unbiased CDF estimator, non-parametric approaches based on the kernels or bootstraping. In the contribution the binormal model is considered and the attention is concentrated on the comparison of two parametric methods. The first one is the method of reweighted least squares where weights depend on the response variable. The second one is based on the best unbiased CDF estimator. The comparison of both methods will be demonstrated by simulations and the performance of both methods will be discussed for small sample sizes.
Abstract (in Czech)
ROC křivka hraje důležitou úlohu v mnoha oblastech, kde je zapotřebí klasifikovat mezi populacemi. V příspěvku je uvažován binormální model a pro odhad ROC křivky v tomto modelu jsou užity a srovnány iterativní metoda nejmenších čtverců s odhadem založeným na nejlepším nestranném odhadu distribuční funkce. Srovnání obou metod je provedeno pomocí simulací a dsikutováno zejména pro malé rozsahy výběrů.
Links
GA402/04/1308, research and development projectName: Klasifikační modely a porovnání jejich prediktivních vlastností
Investor: Czech Science Foundation, Classification models and the assessment of their predictive properties
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