Summary
In order to design a tool for the early detection of business failures, a Fisher linear discriminant analysis, a logistical regression and a multilayer neural network are applied to the same economic and financial data set. The techniques and results are compared. There is a French version of this study published in « Revue de statistique appliquée » 1997.
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Bardos, M., Zhu, W. (1998). Comparison of Discriminant Analysis and Neural Networks Application for the Detection of Company Failures. In: Aurifeille, JM., Deissenberg, C. (eds) Bio-Mimetic Approaches in Management Science. Advances in Computational Management Science, vol 1. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2821-7_6
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DOI: https://doi.org/10.1007/978-1-4757-2821-7_6
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