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Anotace knihy

Credit scoring methods became a standard tool of §banks and other financial institutions, direct §marketing retailers and advertising companies to §estimate whether an applicant for credit/goods will §pay back his liabilities. In this book we give a §short overview of credit scoring and its §quantitative methods. We investigate the usage of §some of these methods and their performance on a §real data set taken from a French bank. Our results §indicate that the methods used, namely the logistic §regression, multi-layer perceptron (MLP) and radial §basis function (RBF) neural networks give very §similar results, however, the traditional logit §model seems to outperform the other techniques. We §also describe RBF architecture and a simple RBF §program that we implemented in the statistical §computing environment XploRe.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Probability & statistics

• Plný název: On Credit Scoring Estimation
• Podnázev: Overview of quantitative methods for credit scoring illustrated with a case study
• Autor: Karel Komorád
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 84
• EAN: 9783639141665
• ISBN: 3639141660
• ID: 06822792
• Nakladatelství: VDM Verlag
• Hmotnost: 136 g
• Rozměry: 229 × 152 × 5 mm
• Datum vydání: 10. April 2009

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