Overview
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 67)
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Table of contents (17 chapters)
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Networks and Systems
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The Failure Rate Function and Burn-In
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Software Reliability and Random Environments
Keywords
About this book
In this volume consideration was given to more advanced theoretical approaches and novel applications of reliability to ensure that topics having a futuristic impact were specifically included. Topics like finance, forensics, information, and orthopedics, as well as the more traditional reliability topics were purposefully undertaken to make this collection different from the existing books in reliability. The entries have been categorized into seven parts, each emphasizing a theme that seems poised for the future development of reliability as an academic discipline with relevance. The seven parts are networks and systems; recurrent events; information and design; failure rate function and burn-in; software reliability and random environments; reliability in composites and orthopedics, and reliability in finance and forensics. Embedded within the above are some of the other currently active topics such as causality, cascading, exchangeability, expert testimony, hierarchical modeling, optimization and survival analysis. These topics, when linked with utility theory, constitute the science base of risk analysis.
Editors and Affiliations
Bibliographic Information
Book Title: Mathematical Reliability: An Expository Perspective
Editors: Refik Soyer, Thomas A. Mazzuchi, Nozer D. Singpurwalla
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-1-4419-9021-1
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2004
Hardcover ISBN: 978-1-4020-7697-8Published: 31 December 2003
Softcover ISBN: 978-1-4613-4760-6Published: 04 October 2012
eBook ISBN: 978-1-4419-9021-1Published: 06 December 2012
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: XXI, 333
Topics: Probability Theory and Stochastic Processes, Statistics, general, Quality Control, Reliability, Safety and Risk, Operations Research/Decision Theory