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Operational Subjective Statistical Methods

basis for understanding more complex structures of statistical analysis Complete with fifty illustrations, Operational Subjective Statistical;

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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

a focus on the modeling process, the book flows logically to discussion of probabilistic tools for operational risk modeling and statistical;

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Quantitative Operational Risk Models

operational risk. The book then covers statistical theory prerequisites, and explains how to implement the new density estimation methods for;

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Quantitative Operational Risk Models

imposed by operational risk. The book then covers statistical theory prerequisites, and explains how to implement the new density estimation;

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Reliability Issues for DOD Systems

The final report of the National Research Council's (NRC) Panel on Statistical Methods for Testing and Evaluating Defense Systems (National;

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Computer Modeling for Business and Industry

business statistics and quantitative methods courses, demonstrating how computer packages can be used to solve statistical and operational research;

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Biostatistics

probability from a simple principle of rationality, the book connects statistical science with scientific reasoning. The author shows how to compute;

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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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Subjective Probability Models for Lifetimes

, statistical dependence, reliability, and decision theory. He offers a detailed but accessible mathematical treatment of different aspects;

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Subjective Probability Models for Lifetimes

, statistical dependence, reliability, and decision theory. He offers a detailed but accessible mathematical treatment of different aspects;

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Data Management and Analysis Using JMP

courses and successfully applying statistical analysis in the workplace. Authors Jane Oppenlander and Patricia Schaffer begin by illustrating;

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Robust Statistics

Classical statistical techniques fail to cope well with deviations from a standard distribution. Robust statistical methods take into;

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Statistical Methods in the Atmospheric Sciences

Statistical Methods in the Atmospheric Sciences, Fourth Edition, continues the tradition of trying to meet the needs of students;

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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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The Six Sigma Black Belt Handbook

A new series that takes Six Sigma to the next levelThe Six Sigma Operational Methods Series goes beyond simply explaining Six Sigma basics;

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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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An Introduction to Bayesian Analysis

-life data can be analyzed using the current techniques of statistical computing. Advances in both low-dimensional and high;

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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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Bayesian Analysis For Social Sciences

implement the methods using WinBUGS - the most-widely used Bayesian analysis software in the world - and R - an open-source statistical software;

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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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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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Simulation-based Inference in Econometrics

This substantial volume has two principal objectives. First it provides an overview of the statistical foundations of Simulation-based;

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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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Structural Health Monitoring by Time Series Analysis and Statistical Distance Measures

on SHM via statistical pattern recognition in terms of feature extraction and classification for damage diagnosis under environmental and;

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Simulation-based Inference in Econometrics

This substantial volume has two principal objectives. First it provides an overview of the statistical foundations of Simulation-based;

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Statistical Methods for Geography

Statistical Methods for Geography is the essential introduction for geography students looking to fully understand and apply key;

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