Quantitative Operational Risk Models - Jim Gustafsson,Montserrat Guillén,Jens Perch Nielsen,Catalina Bolance
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Piegāde 31-37 darba dienu laikā
30 dienu atgriešanas politika
Presenting a nonparametric approach to modeling operational risk data, this book offers a practical perspective that combines statistical analysis and management orientations. It covers the statistical theory prerequisites and summarizes important contributions made in the past decade. The authors explain how to implement the new density estimation methods for analyzing the loss distribution in operational ... Pilns apraksts
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Aprašymas
Presenting a nonparametric approach to modeling operational risk data, this book offers a practical perspective that combines statistical analysis and management orientations. It covers the statistical theory prerequisites and summarizes important contributions made in the past decade. The authors explain how to implement the new density estimation methods for analyzing the loss distribution in operational risk for banks and insurance companies. They also include SAS and R routines to implement all of the procedures discussed in the text.
Vairāk informācijas
| Autors | Jim Gustafsson, Montserrat Guillén, Jens Perch Nielsen, Catalina Bolance |
|---|---|
| Izdevējs | CRC Press |
| Izlaides gads | 2012 |
| Vāka tips | Cietais vāks |
| EAN | 9781439895924 |