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Statistical Analysis of Operational Risk Data

This concise book for practitioners presents the statistical analysis of operational risk, which is considered the most relevant source;

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Quantitative Operational Risk Models

Operational Risk Models offers a practical perspective that combines statistical analysis and management orientations.;

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Quantitative Operational Risk Models

risk data, Quantitative Operational Risk Models offers a practical perspective that combines statistical analysis and management orientations.;

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Fundamental Aspects of Operational Risk and Insurance Analytics

A one-stop guide for the theories, applications, and statistical methodologies essential to operational risk Providing a complete;

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Operational Risk

is organized around the principle that the analysis of operational risk consists, in part, of the collection of data and the building of mathematical;

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Stress Testing and Scenario Analysis

testing. We examine the most appropriate statistical method to measure and model operational loss data distribution. In conclusion, we found out;

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Fundamental Aspects of Operational Risk and Insurance Analytics and Advances in Heavy Tailed Risk Modeling

Two cutting-edge guides for the theories, applications, and statistical methodologies essential to operational risk and heavy tailed risk;

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Operational Risk Management

unstructured, semantic-based data, and numeric data, in Operational Risk Management (OpR) data analysis. Key Features: * The book is presented in four;

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Operational Risk with Excel and VBA

statistical methods that have been shown to work in an operational risk management context. It brings together a wide variety of statistical methods;

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Operational Risk Modeling in Financial Services

Transform your approach to oprisk modelling with a proven, non-statistical methodology Operational Risk Modeling in Financial Services;

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Modelling Operational Risk Using Bayesian Inference

Distribution Approach (LDA) based on statistical quantification of the frequency and severity of operational risk losses. There are a number;

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Financial and Operational Performance Analysis

operational performance trend of the institution five years data from 2005 to 2009 was used. Data analysis was performed using various widely accepted;

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Handbook Of Financial Data And Risk Information

management and analysis, this handbook serves as a unique and comprehensive reference for the technical, operational, regulatory and political issues;

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Advances in Heavy Tailed Risk Modeling

ADVANCES IN HEAVY TAILED RISK MODELING A cutting-edge guide for the theories, applications, and statistical methodologies essential to;

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Handbook Of Financial Data And Risk Information Ii

describes a structural and operational framework for managing a financial risk data repository. As experience accumulates on managing modern risk;

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Statistical Learning and Data Science

field, Statistical Learning and Data Science demonstrates how data analysis can improve personal and collective health and the well-being of our;

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Statistical Learning and Data Science

field, Statistical Learning and Data Science demonstrates how data analysis can improve personal and collective health and the well-being of our;

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Data Management and Analysis Using JMP

techniques to prepare data for analysis, followed by presenting effective methods to summarize, visualize, and analyze data. The statistical analysis;

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Operational Risk Management in Financial Services

Technology failures, data loss, issues with providers of outsourced services, misconduct and mis-selling are just some of the top risks;

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Operational Risk Management in Financial Services

Technology failures, data loss, issues with providers of outsourced services, misconduct and mis-selling are just some of the top risks;

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Statistical Learning and Modeling in Data Analysis

The contributions gathered in this book focus on modern methods for statistical learning and modeling in data analysis and present a series;

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Fundamentals of Operational Risk Management

activities. It covers the main operational risk tools including categorisation, risk and control self-assessment and scenario analysis, and explores;

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Fundamentals of Operational Risk Management: Understanding and Implementing Effective Tools, Policies and Frameworks

activities. It covers the main operational risk tools including categorisation, risk and control self-assessment and scenario analysis, and explores;

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Managing Operational Risk

corporate clients worldwide in operational risk analysis and mitigation.;

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Operational Risk

to achieving control of operational risk. Using qualitative analysis, the author suggests risk identification procedures and provides tools;

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Operational Risk

to achieving control of operational risk. Using qualitative analysis, the author suggests risk identification procedures and provides tools;

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Medical Product Safety Evaluation

methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment. Some frequently encountered;

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