Probability Distributions in Risk Management Operations / by Constantinos Artikis, Panagiotis Artikis.
By: Artikis, Constantinos., autor
Contributor(s): Artikis, Panagiotis., autor
Material type:
E-bookSeries: (Intelligent Systems Reference Library,, 1868-4394 ;; 83); (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing, 2015Description: 1 recurso en línea (XIII, 317 páginas).ISBN: 9783319142562.Subject: Gestión del riesgo
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias Sociales | HD61 .A785 2015 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.12112942 |
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| HD61 2020 EB Critical Risks of Different Economic Sectors Based on the Analysis of More Than 500 Incidents, Accidents and Disasters | HD61 2022 EB Measuring Systemic Risk : A Probabilistic Perspective | HD61 2022 EB Advancing Resilient Performance | HD61 .A785 2015 EB Probability Distributions in Risk Management Operations | HD61 ES The journal of risk finance. | HD61 .H375 2015 EB Risk Analysis and Management: Engineering Resilience | HD62.15 .B459 ES Benchmarking : an international journal. |
Fundamental Concepts of Risk Management -- Stochastic Models of Risk Management Concepts -- Stochastic Models of Risk Management Operations -- Stochastic Discounting Modeling for Concepts and Orerations of Risk Management.
This book is about the formulations, theoretical investigations, and practical applications of new stochastic models for fundamental concepts and operations of the discipline of risk management. It also examines how these models can be useful in the descriptions, measurements, evaluations, and treatments of risks threatening various modern organizations. Moreover, the book makes clear that such stochastic models constitute very strong analytical tools which substantially facilitate strategic thinking and strategic decision making in many significant areas of risk management. In particular the incorporation of fundamental probabilistic concepts such as the sum, minimum, and maximum of a random number of continuous, positive, independent, and identically distributed random variables in the mathematical structure of stochastic models significantly supports the suitability of these models in the developments, investigations, selections, and implementations of proactive and reactive risk management operations. The book makes extensive use of integral and differential equations of characteristic functions, mainly corresponding to important classes of mixtures of probability distributions, as powerful analytical tools for investigating the behavior of new stochastic models suitable for the descriptions and implementations of fundamental risk control and risk financing operations. These risk treatment operations very often arise in a wide variety of scientific disciplines of extreme practical importance.
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