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Titlebook: Mathematical Reliability: An Expository Perspective; Refik Soyer,Thomas A. Mazzuchi,Nozer D. Singpurwal Book 2004 Springer Science+Busines

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书目名称Mathematical Reliability: An Expository Perspective
编辑Refik Soyer,Thomas A. Mazzuchi,Nozer D. Singpurwal
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丛书名称International Series in Operations Research & Management Science
图书封面Titlebook: Mathematical Reliability: An Expository Perspective;  Refik Soyer,Thomas A. Mazzuchi,Nozer D. Singpurwal Book 2004 Springer Science+Busines
描述.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. .
出版日期Book 2004
关键词Survival analysis; calculus; modeling; optimization; reliability; risk analysis; quality control, reliabil
版次1
doihttps://doi.org/10.1007/978-1-4419-9021-1
isbn_softcover978-1-4613-4760-6
isbn_ebook978-1-4419-9021-1Series ISSN 0884-8289 Series E-ISSN 2214-7934
issn_series 0884-8289
copyrightSpringer Science+Business Media New York 2004
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Mathematical Reliability: An Expository Perspective978-1-4419-9021-1Series ISSN 0884-8289 Series E-ISSN 2214-7934
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