9780792393047 - Estimating Device Reliability:: Assessment of Credibility (The Springer International Series in Engineering and Computer Science, 206, Band 206) von Nash, Franklin ... (19 Ergebnisse)

Hardcover. Zustand: 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.

Zustand: 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.

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Zustand: New. pp. 236.

Zustand: 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. . . . .

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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, ICsand lasers.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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, ICsand lasers.

Zustand: 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. . . . . Books ship from the US and Ireland.

Hardcover. Zustand: Like New. Like New. book.

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Buch. Zustand: 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.

Gebunden. Zustand: 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.

Buch. Zustand: 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.

Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. 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, ICsand lasers.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 234 pp. Englisch.

Zustand: New. Print on Demand pp. 236 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Zustand: New. PRINT ON DEMAND pp. 236.