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Mathematical Reliability: An Expository Perspective (Hardcover, 2004 ed.): R. Soyer, T.A. Mazzuchi, N.D. Singpurwalla Mathematical Reliability: An Expository Perspective (Hardcover, 2004 ed.)
R. Soyer, T.A. Mazzuchi, N.D. Singpurwalla
R2,994 Discovery Miles 29 940 Ships in 10 - 15 working days

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.

Mathematical Reliability: An Expository Perspective (Paperback, Softcover reprint of the original 1st ed. 2004): R. Soyer, T.A.... Mathematical Reliability: An Expository Perspective (Paperback, Softcover reprint of the original 1st ed. 2004)
R. Soyer, T.A. Mazzuchi, N.D. Singpurwalla
R2,808 Discovery Miles 28 080 Ships in 10 - 15 working days

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.

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