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Credit-Risk Modelling: Theoretical Foundations, Diagnostic Tools, Practical Examples, and Numerical Recipes in Python David Jamieson Bolder Softcover Reprint of the Original 1st 2018 edition
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Credit-Risk Modelling: Theoretical Foundations, Diagnostic Tools, Practical Examples, and Numerical Recipes in Python
David Jamieson Bolder
Bringing these complex approaches to life by combining the technical details with actual real-life Python code reduces the burden of model complexity and enhances accessibility to this decidedly specialized field of study.
684 pages, 127 Tables, color; 130 Illustrations, color; XXXV, 684 p. 130 illus. in color.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2019. gada 12. janvāris |
| ISBN13 | 9783030069001 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 684 |
| Izmēri | 234 × 157 × 41 mm · 1,09 kg |
| Valoda | Vācu |
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