Ranking and similarity for quantitative structure-retention relationship models in predicting Lee retention indices of polycyclic aromatic hydrocarbons

Analytica Chimica Acta

Volumn 716, Issue , 2012, Pages 92-100

  Héberger, Károly ^a   Škrbić, Biljana ^b  

^a CHEMICAL RESEARCH CENTER   (Hungary)

^b UNIVERSITY OF NOVI SAD   (Serbia)

Author keywords

Model comparison; Polycyclic aromatic hydrocarbons; Prediction; Quantitative structure retention relationships; Ranking

Indexed keywords

BEST MODEL; COMPONENT ANALYSIS; CROSS VALIDATION; MODEL COMPARISON; PAIR-CORRELATION METHOD; POLYCYCLIC AROMATICS; PREDICTIVE PERFORMANCE; QUANTITATIVE STRUCTURE-RETENTION RELATIONSHIP; QUANTITATIVE STRUCTURES; RANKING; RETENTION INDEX; SIMILAR MODELS;

AROMATIC COMPOUNDS; AROMATIZATION; CLUSTER ANALYSIS; FORECASTING; HYDROCARBONS; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS;

POLYCYCLIC AROMATIC HYDROCARBONS;

POLYCYCLIC AROMATIC HYDROCARBON DERIVATIVE;

ARTICLE; CHEMICAL ANALYSIS; CLUSTER ANALYSIS; CORRELATION ANALYSIS; INTERMETHOD COMPARISON; PATTERN RECOGNITION; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE RETENTION RELATIONSHIP; STATISTICAL ANALYSIS; STATISTICAL MODEL; VALIDATION STUDY;

CLUSTER ANALYSIS; POLYCYCLIC HYDROCARBONS, AROMATIC; PRINCIPAL COMPONENT ANALYSIS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 84856223728     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2011.11.061     Document Type: Article

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