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|a UAMI
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245 |
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|a Quantitative operational risk models /
|c Catalina Bolancé [and others].
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260 |
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|a Boca Raton :
|b Taylor & Francis,
|c 2012.
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|a 1 online resource
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|a text
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|a Chapman & Hall/CRC finance series
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|a Includes bibliographical references and index.
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|a Print version record.
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|a Understanding Operational Risk; Introduction; Our Approach to Operational Risk Quantification; Regulatory Framework; The Fundamentals of Calculating Operational Risk Capital; Notation and Definitions; The Calculation of Operational Risk Capital in Practice; Organization of the Book; ; Operational Risk Data and Parametric Models; Introduction; Internal Data and External Data; Basic Parametric Severity Distributions; The Generalized Champernowne Distribution; Quantile Estimation; Further Reading and Bibliographic Notes; ; Semiparametric Model for Operational Risk Severities; Introduction; Classical Kernel Density Estimation; Transformation Method; Bandwidth Selection; Boundary Correction; Transformation with the Generalized Champernowne Distributions; Results for the Operational Risk Data; Further Reading and Bibliographic Notes; ; Combining Operational Risk.
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|a Data Sources; Why Mixing?; Combining Data Sources with the Transformation Method; The Mixing Transformation Technique; ; Data Study; Further Reading and Bibliographic Notes; ; Underreporting; Introduction; The Underreporting Function; Publicly Reported Loss Data; Semiparametric Approach to Correction tor Underreporting; An Application to Evaluate Operational Risk with Correction; An Application to Evaluate Internal Operational Risk; Further Reading and Bibliographic Notes; ; Combining Underreported Internal and External Data; Introduction; Data Availability; Underreporting Losses; A Mixing Model in a Truncation Framework; Operational Risk Application; Further Reading and Bibliographic Notes; ; A Guided Practical Example; Introduction; Descriptive Statistics and Basic Procedures; Transformation Kernel Estimation; Combining Internal.
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|a And External Data; Underreporting Implementation; Programming in R.
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590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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650 |
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|a Risk management.
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650 |
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|a Operational risk.
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650 |
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|a Mathematical models.
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|a Risk Management
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|a Models, Theoretical
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650 |
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|a Gestion du risque.
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650 |
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|a Risque opérationnel.
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650 |
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|a Modèles mathématiques.
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650 |
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|a risk management.
|2 aat
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650 |
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|a mathematical models.
|2 aat
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650 |
|
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|a BUSINESS & ECONOMICS
|x Insurance
|x Risk Assessment & Management.
|2 bisacsh
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650 |
|
7 |
|a Mathematical models.
|2 fast
|0 (OCoLC)fst01012085
|
650 |
|
7 |
|a Operational risk.
|2 fast
|0 (OCoLC)fst01739665
|
650 |
|
7 |
|a Risk management.
|2 fast
|0 (OCoLC)fst01098164
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700 |
1 |
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|a Bolancé, Catalina.
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776 |
0 |
8 |
|i Print version:
|t Quantitative operational risk models.
|d Boca Raton : Taylor & Francis, 2012
|z 9781439895924
|w (DLC) 2012002433
|w (OCoLC)744303831
|
830 |
|
0 |
|a Chapman & Hall/CRC finance series.
|
856 |
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|u https://learning.oreilly.com/library/view/~/9781439895931/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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