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Mathematical Reliability: An Expository Perspective (Hardcover, 2004 ed.) Loot Price: R3,138
Discovery Miles 31 380
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

Series: International Series in Operations Research & Management Science, 67

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Loot Price R3,138 Discovery Miles 31 380 | Repayment Terms: R294 pm x 12*

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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.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: International Series in Operations Research & Management Science, 67
Release date: December 2003
First published: 2004
Editors: R. Soyer • T.A. Mazzuchi • N.D. Singpurwalla
Dimensions: 235 x 155 x 25mm (L x W x T)
Format: Hardcover
Pages: 333
Edition: 2004 ed.
ISBN-13: 978-1-4020-7697-8
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
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LSN: 1-4020-7697-5
Barcode: 9781402076978

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