Estimating Device Reliability: Assessment of Credibility is concerned with the plausibility of reliability estimates obtained from statistical models. Statistical predictions are necessary because technology is always pushing into unexplored areas faster than devices can be made long-lived by design. Flawed reliability methodologies can produce disastrous results, an outstanding example of which is the catastrophic failure of the manned space shuttle CHALLENGER in January 1986. This issue is not whether, but which, statistical models should be used. The issue is not making reliability estimates, but is instead their credibility. The credibility questions explored in the context of practical applications include:
"synopsis" may belong to another edition of this title.
Seller: The Chatham Bookseller, Madison, NJ, U.S.A.
Hardcover. Condition: Near Fine. No Jacket. First Edition. 212 pp. almost completely like new, only sign of use is previous owners name in top right of inner cover page. is concerned with the plausibility of reliability estimates obtained from statistical models. Statistical predictions are necessary because technology is always pushing into unexplored areas faster than devices can be made long-lived by design. Flawed reliability methodologies can produce disastrous results, an outstanding example of which is the catastrophic failure of the manned space shuttle CHALLENGER in January 1986. This issue is not whether, but which, statistical models should be used. The issue is not making reliability estimates, but is instead their credibility. Size: "6x9 1/4". Book. Seller Inventory # 029549
Seller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
Condition: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear. Seller Inventory # GWSVV.079239304X.G
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Seller Inventory # I-9780792393047
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In. Seller Inventory # ria9780792393047_new
Quantity: Over 20 available
Seller: BennettBooksLtd, Los Angeles, CA, U.S.A.
Hardcover. Condition: New. In shrink wrap. Looks like an interesting title! Seller Inventory # Q-079239304X
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Estimating Device Reliability: Assessment of Credibility is concerned with the plausibility of reliability estimates obtained from statistical models. Statistical predictions are necessary because technology is always pushing into unexplored areas faster than devices can be made long-lived by design. Flawed reliability methodologies can produce disastrous results, an outstanding example of which is the catastrophic failure of the manned space shuttle CHALLENGER in January 1986. This issue is not whether, but which, statistical models should be used. The issue is not making reliability estimates, but is instead their credibility. The credibility questions explored in the context of practical applications include: What does the confidence level associated with the use of statistical model mean Is the numerical result associated with a high confidence level beyond dispute When is it appropriate to use the exponential (constant hazard rate) model Does this model always provide the most conservative reliability estimate Are the results of traditional `random' failure hazard rate calculations tenable Are there persuasive alternatives What model should be used to describe the useful life of a device when wearout is absent When Weibull and lognormal failure plots containing a large number of failure times appear similar, how should the correct wearout model be selected Is it important to distinguish between a conservative upper bound on a probability of failure and a realistic estimate of the same probability Estimating Device Reliability: Assessment of Credibility is for those who are obliged to make reliability calculations with a paucity of somewhat corrupt data, by using inexact models, and by making physical assumptions which are impractical to verify. Illustrative examples deal with a variety of electronic devices, ICs and lasers. 234 pp. Englisch. Seller Inventory # 9780792393047
Quantity: 2 available
Seller: moluna, Greven, Germany
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Estimating Device Reliability: Assessment of Credibility is concerned with the plausibility of reliability estimates obtained from statistical models. Statistical predictions are necessary because technology is always pushing into unexplored are. Seller Inventory # 5971396
Quantity: Over 20 available
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 236. Seller Inventory # 26320284
Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. Estimating Device Reliability: | Assessment of Credibility | Franklin R. Nash | Buch | xvi | Englisch | 1992 | Springer | EAN 9780792393047 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Seller Inventory # 102563001
Quantity: 5 available
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. Deals with the plausibility of reliability estimates obtained from statistical models. This book is suitable for those who are obliged to make reliability calculations with a paucity of somewhat corrupt data, by using inexact models, and by making physical assumptions which are impractical to verify. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 214 pages, biography. BIC Classification: KJMD; TBC; TGPR. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 14. Weight in Grams: 509. . 1992. Hardback. . . . . Seller Inventory # V9780792393047
Quantity: 15 available