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Statistical reliability engineering

Author: B V Gnedenko; I V Pavlov; I A Ushakov; Sumantra Chakravarty
Publisher: New York : J. Wiley, ©1999.
Edition/Format:   Book : EnglishView all editions and formats
Database:WorldCat
Summary:
While probabilistic methods of system reliability analysis have reached an unparalleled degree of refinement, Russian engineers have concentrated on developing more advanced statistical methods. Over the past several decades, their efforts have yielded highly evolved statistical models that have proven to be especially valuable in the estimation of reliability based upon tests of individual units of systems. Now
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Additional Physical Format: Online version:
Gnedenko, B.V. (Boris Vladimirovich), 1912-1995.
Statistical reliability engineering.
New York : J. Wiley, c1999
(OCoLC)607167569
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: B V Gnedenko; I V Pavlov; I A Ushakov; Sumantra Chakravarty
ISBN: 0471123560 9780471123569
OCLC Number: 39679243
Description: xvi, 499 p. : ill. ; 24 cm.
Contents: Pt. I. Unit Reliability Estimation. 1. Main Knowledge of Statistics. 2. Plans of Tests with a Single Censorship. 3. Censored Samples. 4. Bayes Methods of Reliability Estimation. 5. Accelerated Testing --
Pt. II. System Reliability Estimation. 6. Testing with No Failures. 7. System Confidence Limits Based on Unit Test Results. 8. Confidence Limits for Systems Consisting of Units with Exponential Distribution of Time to Failure. 9. Sequential Criteria of Hypothesis Test and Confidence Limits for Reliability Indices. 10. Monte Carlo Simulation. 11. Monte Carlo Simulation for Optimal Redundancy.
Responsibility: Boris Gnedenko, Igor Pavlov, Igor Ushakov ; edited by Sumantra Chakravarty.
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Abstract:

While probabilistic methods of system reliability analysis have reached an unparalleled degree of refinement, Russian engineers have concentrated on developing more advanced statistical methods. Over the past several decades, their efforts have yielded highly evolved statistical models that have proven to be especially valuable in the estimation of reliability based upon tests of individual units of systems. Now Statistical Reliability Engineering affords engineers a unique opportunity to learn both the theory behind and applications of those statistical methods.

Statistical Reliability Engineering is an important professional resource for reliability and design engineers, especially those in the telecommunications and electronics industries. It is also an excellent course text for advanced courses in reliability engineering.

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