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Analyzing Risk through Probabilistic Modeling in Operations Research

Analyzing Risk through Probabilistic Modeling in Operations Research

Copyright: © 2016 |Pages: 441
ISBN13: 9781466694583|ISBN10: 1466694580|EISBN13: 9781466694590
DOI: 10.4018/978-1-4666-9458-3
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MLA

Jakóbczak, Dariusz Jacek, editor. Analyzing Risk through Probabilistic Modeling in Operations Research. IGI Global, 2016. https://doi.org/10.4018/978-1-4666-9458-3

APA

Jakóbczak, D. J. (Ed.). (2016). Analyzing Risk through Probabilistic Modeling in Operations Research. IGI Global. https://doi.org/10.4018/978-1-4666-9458-3

Chicago

Jakóbczak, Dariusz Jacek, ed. Analyzing Risk through Probabilistic Modeling in Operations Research. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-9458-3

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Probabilistic modeling represents a subject spanning many branches of mathematics, economics, and computer science to connect pure mathematics with applied sciences. Operational research also relies on this connection to enable the improvement of business functions and decision making.

Analyzing Risk through Probabilistic Modeling in Operations Research is an authoritative reference publication discussing the various challenges in management and decision science. Featuring exhaustive coverage on a range of topics within operational research including, but not limited to, decision analysis, data mining, process modeling, probabilistic interpolation and extrapolation, and optimization methods, this book is an essential reference source for decision makers, academicians, researchers, advanced-level students, technology developers, and government officials interested in the implementation of probabilistic modeling in various business applications.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Advances in Logistics, Operations, and Management Science (ALOMS) Book Series
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Editorial Advisory Board
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Preface
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Acknowledgment
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Chapters
Probabilistic Modeling in Risk Analysis
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Chapter 2
Decision Making and Risk Management
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Chapter 3
Case Studies from Business and Industry
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Back Materials
Compilation of References
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About the Contributors
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Index
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