Editors:
- Provides broad coverage of uncertainty analysis/modeling and its application
- Presents the perspectives of various researchers and practitioners on uncertainty analysis and modeling outside their own fields and domain expertise
- Focusing explicitly on theory, this work uses real-world examples to demonstrate the strength of the chosen methodology
Part of the book series: International Series in Intelligent Technologies (ISIT, volume 20)
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Table of contents (23 chapters)
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Front Matter
About this book
Reviews
From the reviews of the first edition:
"This book presents a collection of interesting articles in the general framework of uncertainty modeling and analysis. The tools used come from various disciplines including statistics and operations research. … an operations research instructor may consider Applied Research in Uncertainty Modeling and Analysis favorably as a good source book … ." (Sailes K. Sengupta, Technometrics, Vol. 48 (4), 2006)
Editors and Affiliations
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University of Delaware, Newark, USA
Nii O. Attoh-Okine
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University of Maryland, College Park, USA
Bilal M. Ayyub
Bibliographic Information
Book Title: Applied Research in Uncertainty Modeling and Analysis
Editors: Nii O. Attoh-Okine, Bilal M. Ayyub
Series Title: International Series in Intelligent Technologies
DOI: https://doi.org/10.1007/b101807
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag US 2005
Hardcover ISBN: 978-0-387-23535-6Published: 15 December 2004
Softcover ISBN: 978-1-4419-3635-6Published: 06 December 2010
eBook ISBN: 978-0-387-23550-9Published: 29 December 2007
Series ISSN: 1382-3434
Edition Number: 1
Number of Pages: XVI, 545
Topics: Operations Research/Decision Theory, Economic Theory/Quantitative Economics/Mathematical Methods, Engineering, general