Variable ranking based on the estimated degree of separation for two distributions of data by the length of the receiver operating characteristic curve

Analytica Chimica Acta

Volumn 876, Issue , 2015, Pages 39-48

  Maswadeh, Waleed M ^a   Snyder, A Peter ^b  

^a EDGEWOOD CHEMICAL BIOLOGICAL CENTER   (United States)

^b Bel Air   (United States)

Author keywords

Area between receiver operating characteristic curve and diagonal; Degree of separation; Length of receiver operating characteristic curve; Probability density function; Variable ranking

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTERIZED TOMOGRAPHY; LARGE DATASET; SEPARATION; STATISTICAL TESTS;

DEGREE OF SEPARATION; KOLMOGOROV SMIRNOV (K S) TEST; LOW SIGNAL INTENSITY; PROBABILITY DENSITY FUNCTIONS (PDFS); RECEIVER OPERATING CHARACTERISTIC CURVES; RECEIVER OPERATING CHARACTERISTICS CURVES (ROC); STATISTICAL PARAMETERS; VARIABLE RANKING;

PROBABILITY DENSITY FUNCTION;

AREA UNDER THE CURVE; ARTICLE; CLASSIFICATION ALGORITHM; CONTENT ANALYSIS; DATA ANALYSIS; DATA DISTRIBUTION; DATA SYNTHESIS; DEGREE OF SEPARATION; INFORMATION PROCESSING; INTERMETHOD COMPARISON; KERNEL METHOD; MATHEMATICAL MODEL; PRIORITY JOURNAL; PROBABILITY; PROCESS DEVELOPMENT; RECEIVER OPERATING CHARACTERISTIC; SAMPLE SIZE;

EID: 84929514041     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2015.03.024     Document Type: Article

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