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  • The Receiver Operating Characteristic (ROC) curve is a statistical tool for evaluating the accuracy of diagnostics tests. The empirical ROC curve is the most commonly used non-parametric estimator for the ROC curve. To derive a smooth estimate for the ROC curve, we use a kernel smoothing method which has better statistical properties than empirical. By this process we need to estimate a distribution function. It is well known now that kernel distribution estimators are not consistent when estimating a distribution function near the boundary of its support. This problem is known as ``boundary effects%22. To avoid these difficulties we use the technique, which is a kind of generalized reflection method involving reflecting a transformation of the data. The proposed method generates a class of boundary corrected estimators.
  • The Receiver Operating Characteristic (ROC) curve is a statistical tool for evaluating the accuracy of diagnostics tests. The empirical ROC curve is the most commonly used non-parametric estimator for the ROC curve. To derive a smooth estimate for the ROC curve, we use a kernel smoothing method which has better statistical properties than empirical. By this process we need to estimate a distribution function. It is well known now that kernel distribution estimators are not consistent when estimating a distribution function near the boundary of its support. This problem is known as ``boundary effects%22. To avoid these difficulties we use the technique, which is a kind of generalized reflection method involving reflecting a transformation of the data. The proposed method generates a class of boundary corrected estimators. (en)
Title
  • On boundary correction in kernel estimation of ROC curves
  • On boundary correction in kernel estimation of ROC curves (en)
skos:prefLabel
  • On boundary correction in kernel estimation of ROC curves
  • On boundary correction in kernel estimation of ROC curves (en)
skos:notation
  • RIV/00216224:14310/09:00032296!RIV10-MSM-14310___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(LC06024)
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 331341
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14310/09:00032296
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • kernel estimation; reflection; distribution estimation; ROC curve (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • AT - Rakouská republika
http://linked.open...ontrolniKodProRIV
  • [D303A79354FF]
http://linked.open...i/riv/nazevZdroje
  • Austrian Journal of Statistics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 38
http://linked.open...iv/tvurceVysledku
  • Koláček, Jan
  • Karunamuni, Rohana J.
issn
  • 1026-597X
number of pages
http://localhost/t...ganizacniJednotka
  • 14310
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