Prediction of Loan Redemption: Logit Models and Artificial Neural Networks
β Scribed by Dorota Witkowska; Mariola Chrzanowska
- Book ID
- 106569213
- Publisher
- Springer US
- Year
- 2005
- Tongue
- English
- Weight
- 74 KB
- Volume
- 11
- Category
- Article
- ISSN
- 1083-0898
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract Empirical studies in the area of sovereign debt have used statistical models singularly to predict the probability of debt rescheduling. Unfortunately, researchers have made few efforts to test the reliability of these model predictions or to identify a superior prediction model among c
## Abstract Previous ensemble streamflow prediction (ESP) studies in Korea reported that modelling error significantly affects the accuracy of the ESP probabilistic winter and spring (i.e. dry season) forecasts, and thus suggested that improving the existing rainfallβrunoff model, TANK, would be cr