Mathematical Reliability: An Expository Perspective - Couverture rigide
Livre 52 sur 323: International Series in Operations Research & Management Science
Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
Consideration was given to more advanced theoretical approaches and novel applications of reliability to ensure that topics having a futuristic impact were specifically included. 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 topics, when linked with utility theory, constitute the science base of risk analysis.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Mathematical Reliability: An Expository Perspective
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Mathematical Reliability: An Expository Perspective (International Series in Operations Research & Management Science, 67)
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Mathematical Reliability
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Mathematical Reliability
Edité par
Kluwer Academic Publishers, 2003
ISBN 10 : 1402076975
ISBN 13 : 9781402076978
Neuf
Couverture rigide
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Etat : New. Considers advanced theoretical approaches and novel applications of reliability. This title features the topics that, when linked with utility theory, constitute the science base of risk analysis. Editor(s): Soyer, Refik; Mazzuchi, Thomas A.; Singpurwalla, Nozer D. Series: International Series in Operations Research & Management Science. Num Pages: 333 pages, biography. BIC Classification: PBT. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 242 x 166 x 25. Weight in Grams: 654. . 2003. Hardback. . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9781402076978
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Mathematical Reliability: An Expository Perspective
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Springer Us Dez 2003, 2003
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ISBN 13 : 9781402076978
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Buch. Etat : Neu. Neuware - 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. N° de réf. du vendeur 9781402076978
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