Predicting financial distress using logistic regression, multiple discriminant analysis, support vector machines, and artificial neural network: An application of the banking industry

Additional Metadata
Keywords	Corporate finance, Artificial Intelligence, artificial neural network, financial distress
Thesis Advisor	Surucu, Ezgi Avci, Ghiassi-Farrokhfal, Yashar
Persistent URL	hdl.handle.net/2105/45964
Series	Business Information Management
Organisation	Rotterdam School of Management
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Artigue, Paul. (2018, August 31). Predicting financial distress using logistic regression, multiple discriminant analysis, support vector machines, and artificial neural network: An application of the banking industry. Business Information Management. Retrieved from http://hdl.handle.net/2105/45964

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