f609832da09ec4198861 · Further Studies of Bootstrap Variability for ROC Analysis on Large Datasets
Further Studies of Bootstrap Variability for ROC Analysis on Large Datasets
The nonparametric two-sample bootstrap is successfully applied to computing the measurement uncertainties in receiver operating characteristic (ROC) analysis on large datasets in areas such as biometrics, speaker recognition system, etc. To determine the
{
"title_en": "Further Studies of Bootstrap Variability for ROC Analysis on Large Datasets",
"designation": "",
"series": "",
"status": "",
"date": "2010-10-11",
"date_original": "October 11, 2010",
"url": "https://www.nist.gov/publications/further-studies-bootstrap-variability-roc-analysis-large-datasets",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Jin Chu Wu , Alvin F. Martin , Raghu N. Kacker",
"abstract_excerpt_en": "The nonparametric two-sample bootstrap is successfully applied to computing the measurement uncertainties in receiver operating characteristic (ROC) analysis on large datasets in areas such as biometrics, speaker recognition system, etc. To determine the",
"id": "f609832da09ec4198861",
"sources": [
"NIST Publications"
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{
"title_en": "Further Studies of Bootstrap Variability for ROC Analysis on Large Datasets",
"designation": "",
"series": "",
"status": "",
"date": "2010-10-11",
"date_original": "October 11, 2010",
"url": "https://www.nist.gov/publications/further-studies-bootstrap-variability-roc-analysis-large-datasets",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Jin Chu Wu , Alvin F. Martin , Raghu N. Kacker",
"abstract_excerpt_en": "The nonparametric two-sample bootstrap is successfully applied to computing the measurement uncertainties in receiver operating characteristic (ROC) analysis on large datasets in areas such as biometrics, speaker recognition system, etc. To determine the"
}
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