Detailliertes Fallbeispiel zur Kreditdatenanalyse auf Basis von RStudio

Author:

Fingerlos Uwe Rudolf,Golla Guido,Pastwa Alexander,Gluchowski Peter,Gabriel Roland

Publisher

Springer Fachmedien Wiesbaden

Reference94 articles.

1. Akkoç, S. (2012): An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data, in: European Journal of Operational Research 222, S. 168–178.

2. Alexander, C. (2008): Market Risk Analysis Volume I: Quantitative Methods in Finance, John Wiley & Sons, Chichester.

3. Allison, P. D. (2012): Logistic Regression Using SAS – Theory and Application, 2. Aufl., SAS Institute, Cary.

4. Alwosheel, A.; Van Cranenburgh, S.; Chorus, C. G. (2018): Is your dataset big enough? Sample size requirements when using artificial neural networks for discrete choice analysis, in: Journal of Choice Modelling 28 (9), S. 167–182.

5. Ambler, G.; Royston, P. (2001): Fractional Polynomial Model Selection Procedures: Investigation of Type I Error Rates, in: Journal of Statistical Computation and Simulation 69, S. 89–108.

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