Statistical Reliability Engineering
Pavlov, Igor V., Ushakov, Igor A., Gnedenko, Boris
ISBN 10: 0471123560 ISBN 13: 9780471123569
Published by Wiley & Sons, Incorporated, John, 1999
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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.
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Bibliographic Details
Title: Statistical Reliability Engineering
Publisher: Wiley & Sons, Incorporated, John
Publication Date: 1999
Binding: Hardcover
Condition: Very Good
Edition: 1st Edition.
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Statistical Reliability Engineering
Published by
Wiley & Sons, Incorporated, John, 1999
ISBN 10: 0471123560
ISBN 13: 9780471123569
Used
Hardcover
First Edition
Seller: Better World Books, Mishawaka, IN, U.S.A.
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Statistical Reliability Engineering (Hardcover)
Published by
John Wiley & Sons Inc, New York, 1999
ISBN 10: 0471123560
ISBN 13: 9780471123569
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Hardcover. Condition: new. 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780471123569
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Statistical Reliability Engineering (Hardcover)
Published by
John Wiley & Sons Inc, New York, 1999
ISBN 10: 0471123560
ISBN 13: 9780471123569
New
Hardcover
First Edition
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Hardcover. Condition: new. 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
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Statistical Reliability Engineering
Published by
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ISBN 10: 0471123560
ISBN 13: 9780471123569
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Condition: New. 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. Editor(s): Chakravarty, Sumantra. Num Pages: 528 pages, Illustrations. BIC Classification: TGPR. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 240 x 166 x 35. Weight in Grams: 870. . 1999. 1st Edition. Hardcover. . . . . Seller Inventory # V9780471123569
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Statistical Reliability Engineering (Hardcover)
Published by
John Wiley & Sons Inc, New York, 1999
ISBN 10: 0471123560
ISBN 13: 9780471123569
New
Hardcover
First Edition
Seller: AussieBookSeller, Truganina, VIC, Australia
Seller rating 5 out of 5 stars
Hardcover. Condition: new. 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9780471123569
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