Bankruptcy prediction in firms with statistical and intelligent techniques and a comparison of evolutionary computation approaches
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Publication:2429099
DOI10.1016/J.CAMWA.2011.10.030zbMath1236.91146OpenAlexW1966303763MaRDI QIDQ2429099
Publication date: 22 April 2012
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.camwa.2011.10.030
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to actuarial sciences and financial mathematics (62P05) Statistical methods; risk measures (91G70)
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Cites Work
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- Bankruptcy prediction in banks and firms via statistical and intelligent techniques -- a review
- DEA as a tool for bankruptcy assessment: A comparative study with logistic regression technique
- Self-organization and associative memory.
- Multicriteria decision aid methods for the prediction of business failure
- Genetic programming and rough sets: a hybrid approach to bankruptcy classification
- Comparing extended classifier system and genetic programming for financial forecasting: an empirical study
- The Influence Function as an Aid in Outlier Detection in Discriminant Analysis
- The influence of observations on misclassification probability in multiple discriminant analysis
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