Introduction To Multi Disciplinary Model Building


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Risk - A Multidisciplinary Introduction


Risk - A Multidisciplinary Introduction

Author: Claudia Klüppelberg

language: en

Publisher: Springer

Release Date: 2014-06-10


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This is a unique book addressing the integration of risk methodology from various fields. It will stimulate intellectual debate and communication across disciplines, promote better risk management practices and contribute to the development of risk management methodologies. Individual chapters explain fundamental risk models and measurement, and address risk and security issues from diverse areas such as finance and insurance, the health sciences, life sciences, engineering and information science. Integrated Risk Sciences is an emerging discipline that considers risks in different fields, aiming at a common language, and at sharing and improving methods developed in different fields. Readers should have a Bachelor degree and have taken at least one basic university course in statistics and probability. The main goal of the book is to provide basic knowledge on risk and security in a common language; the authors have taken particular care to ensure that all content can readily be understood by doctoral students and researchers across disciplines. Each chapter provides simple case studies and examples, open research questions and discussion points, and a selected bibliography inviting readers to further study.

CONTEMPORARY ISSUES IN MULTIDISCIPLINARY SUBJECTS: VOLUME-1


CONTEMPORARY ISSUES IN MULTIDISCIPLINARY SUBJECTS: VOLUME-1

Author: Sruthi. S

language: en

Publisher: RED'SHINE Publication. Pvt. Ltd

Release Date:


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Simulation of Dynamic Systems with MATLAB® and Simulink®


Simulation of Dynamic Systems with MATLAB® and Simulink®

Author: Harold Klee

language: en

Publisher: CRC Press

Release Date: 2018-02-02


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Continuous-system simulation is an increasingly important tool for optimizing the performance of real-world systems. The book presents an integrated treatment of continuous simulation with all the background and essential prerequisites in one setting. It features updated chapters and two new sections on Black Swan and the Stochastic Information Packet (SIP) and Stochastic Library Units with Relationships Preserved (SLURP) Standard. The new edition includes basic concepts, mathematical tools, and the common principles of various simulation models for different phenomena, as well as an abundance of case studies, real-world examples, homework problems, and equations to develop a practical understanding of concepts.