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Predicting online buying behaviour : a comparative study using three classifying methods

Prashar, Sanjeev; Vijay, T. Sai; Parsad, Chandan - In: International journal of business innovation and research 15 (2018) 1, pp. 62-78

Persistent link: https://www.econbiz.de/10011927595

Predicting the US bank failure : A discriminant analysis

Cox, Raymond A. K.; Wang, Grace W. Y. - In: Economic analysis and policy : EAP ; journal of the … 44 (2014) 2, pp. 184-201

Persistent link: https://www.econbiz.de/10011481949

Credit scoring and default risk prediction : a comparative study between discriminant analysis & logistic regression

Khemais, Zaghdoudi; Nesrine, Djebali; Mohamed, Mezni - In: International journal of economics and finance 8 (2016) 4, pp. 39-53

Persistent link: https://www.econbiz.de/10011456360

Predicting US banks bankruptcy : logit versus canonical discriminant analysis

Affes, Zeineb; Hentati-Kaffel, Rania - In: Computational economics 54 (2019) 1, pp. 199-244

Persistent link: https://www.econbiz.de/10012134115

Predicting financial distress of companies : comparison between multivariate discriminant analysis and multilayer perceptrion for Tunisian case

Mraihi, Fayçal; Kanzari, Inane - 2019

Persistent link: https://www.econbiz.de/10012059753

The relevance of employee-related ratios for early detection of corporate crises

Situm, Mario - In: Economic and business review : EBR 16 (2014) 3, pp. 279-314

Persistent link: https://www.econbiz.de/10011612051

Rough sets and discriminant analysis techniques for business default forecasting

Cabedo, José David; Tirado, José Miguel - In: Fuzzy economic review : the review of the International … 20 (2015) 1, pp. 3-37

Persistent link: https://www.econbiz.de/10011582926

Credit risk prediction : a comparative study between discriminant analysis and the neural network approach

Khemakhem, Sihem; Boujelbène, Younés - In: Journal of accounting & management information systems … 14 (2015) 1, pp. 60-78

Banks are concerned with the assessment of the risk of financial distress before giving out a loan. Many researchers proposed the use of models based on the Neural Networks in order to help the banker better make a decision. The objective of this paper is to explore a new practical way based on...

Persistent link: https://www.econbiz.de/10011311150

Bankruptcy prediction in Visegrad group countries using multiple discriminant analysis

Kliestik, Tomas; Vrbka, Jaromir; Rowland, Zuzana - In: Equilibrium : quarterly journal of economics and … 13 (2018) 3, pp. 569-593

Persistent link: https://www.econbiz.de/10012231992

Capacity of neural networks and discriminant analysis in classifying potential debtors

Piasecki, Krzysztof; Wójcicka-Wójtowicz, Aleksandra - In: Folia oeconomica Stetinensia : FOS 17 (2017) 2, pp. 129-143

Persistent link: https://www.econbiz.de/10011931015