Empirical research of hybridizing principal component analysis with multivariate discriminant analysis and logistic regression for business failure prediction

Expert Systems with Applications

Volumn 38, Issue 5, 2011, Pages 6244-6253

  Li, Hui ^a   Sun, Jie ^a  

^a ZHEJIANG NORMAL UNIVERSITY   (China)

Author keywords

Business failure prediction (BFP); Logistic regression (logit); Multivariate discriminant analysis (MDA); Principal component analysis (PCA)

Indexed keywords

BUSINESS FAILURE; BUSINESS FAILURE PREDICTION; CHINESE LISTED COMPANIES; DEVELOPED COUNTRIES; EMPIRICAL RESEARCH; EMPIRICAL RESULTS; FEATURE SETS; FILTER APPROACH; FINANCIAL CRISIS; HYBRID METHOD; LISTED COMPANIES; LOGISTIC REGRESSION (LOGIT); LOGISTIC REGRESSIONS; MULTIVARIATE DISCRIMINANT ANALYSIS; PILOT STUDIES; PREDICTIVE METHODS; PREDICTIVE PERFORMANCE; PRINCIPAL COMPONENT ANALYSIS (PCA); SPECIFIC TASKS; STEPWISE METHODS; T-TESTS;

DISCRIMINANT ANALYSIS; FEATURE EXTRACTION; FORECASTING; INDUSTRY; MULTIVARIANT ANALYSIS; OPTIMIZATION; PLANT SHUTDOWNS; QUALITY ASSURANCE; REGRESSION ANALYSIS; RESEARCH;

PRINCIPAL COMPONENT ANALYSIS;

EID: 79151479783     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.11.043     Document Type: Article

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