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133 015 (0,231s)

Result

The Application of ROC Curve to Classification and Regression Trees

on ROC curve is considered. The basic properties of the ROC curve are mentioned and the method of ROC estimation based on sample cumulative distribution functions is compared under assumptions of binormal...

BB - Aplikovaná statistika, operační výzkum

  • 2004
  • D
Result

Diagnostics of Gamma Distributed Populations by Means of ROC Curves

ROC curves, deviance statistics used in generalized linear models, ROC curve aproximation by means of linear combination of noncentral Chi2 distribution, diagnostics of Gamma distributed population......

BA - Obecná matematika

  • 2004
  • D
Result

Using the GLM Approach for Comparing ROC Curves

Operating Characteristic (ROC) curve. Within the generalized linear model (GLM) binary regression framework, ROC curves can be estimated. In studies of classification accuracy, thereare often covariates t...

BB - Aplikovaná statistika, operační výzkum

  • 2013
  • D
Result

On boundary correction in kernel estimation of ROC curves

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

BA - Obecná matematika

  • 2007
  • O
Result

On boundary correction in kernel estimation of ROC curves

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

BA - Obecná matematika

  • 2009
  • Jx
Result

Comparing the Estimates of ROC Curves by Modeling Methods

Parameter estimation problems are investigated using the ROC curve approach. We compare several parametric,semiparametric and nonparametric estimates of ROC curves on the assumption that the model is binormal. Our ...

BB - Aplikovaná statistika, operační výzkum

  • 2010
  • Jx
Result

Comparing Classifier's Performance Based on Confidence Interval of the ROC

based on confidence interval for the ROC curve. The methods performed and compared intervals of ROC curves; ii) investigating how sample sizes influence the properties algorithms via confidence intervals of RO...

Statistics and probability

  • 2018
  • Jimp
  • Link
Result

ROC curves as an aspect of classification

community. Now, ROC curves have been widely used for evaluating the accuracy for the ROC curve, we use a kernel smoothing method. We estimate a distribution functionReceiver Operating Characteristic (ROC)...

BA - Obecná matematika

  • 2009
  • O
Result

ROC Curves for the Classification Algorithms in STATISTICA Data Miner

to construct receiver operating characteristics curves (ROC) for both the parametric software STATISTICA. ROC curves are widely used as a tool to evaluate classification models, but STATISTICA has an option of

BB - Aplikovaná statistika, operační výzkum

  • 2007
  • D
Result

Nonparametric equivalence of ROC curves: testing equivalence

The problem of testing equivalence of two ROC curves is addressed. A transformation of corresponding ROC curves, which motivates a test statistic based on a distance of two empirical quantile processes, is suggeste...

BB - Aplikovaná statistika, operační výzkum

  • 2010
  • C
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