Statistical Reliability Engineering (Hardcover)

Boris Gnedenko

ISBN 10: 0471123560 / ISBN 13: 9780471123569

Published by John Wiley & Sons Inc, New York, 1999

About this Item

Hardcover. Proven statistical reliability analysis methods-available for the first time to engineers in the West 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. Written by three leading innovators in the field, Statistical Reliability Engineering: * Covers all mathematical models for statistical reliability analysis, including Bayesian estimation, accelerated testing, and Monte Carlo simulation * Focuses on the estimation of various measures of system reliability based on the testing of individual units * Contains new theoretical results available for the first time in print * Features numerous examples demonstrating practical applications of the theory presented 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. Proven statistical reliability analysis methods-available for the first time to engineers in the West While probabilistic methods of system reliability analysis have reached an unparalleled degree of refinement, Russian engineers have concentrated on developing more advanced statistical methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9780471123569

Bibliographic Details

• Title: Statistical Reliability Engineering (Hardcover)
• Publisher: John Wiley & Sons Inc, New York
• Publication Date: 1999
• Language: English
• ISBN 10: 0471123560
• ISBN 13: 9780471123569
• Binding: Hardcover
• Edition: 1st Edition
• Condition: new

About this title

Synopsis

Proven statistical reliability analysis methods-available for the first time to engineers in the West 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. Written by three leading innovators in the field, Statistical Reliability Engineering:
* Covers all mathematical models for statistical reliability analysis, including Bayesian estimation, accelerated testing, and Monte Carlo simulation
* Focuses on the estimation of various measures of system reliability based on the testing of individual units
* Contains new theoretical results available for the first time in print
* Features numerous examples demonstrating practical applications of the theory presented
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.

About the Author

BORIS GNEDENKO (deceased) was the chairman of the Probability Theory Department of Moscow State University in Russia. IGOR PAVLOV is Professor of Mathematics at Moscow Technical University in Russia. IGOR USHAKOV is Principal Engineer at QUALCOMM, Inc. in San Diego, California.