Engineering reliability [electronic resource] / Richard E. Barlow.

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Bibliographic Details
Online Access: Full Text (via SIAM)
Main Author: Barlow, Richard E.
Corporate Authors: American Statistical Association, Society for Industrial and Applied Mathematics
Format: Electronic eBook
Language:English
Published: Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), 1998.
Series:ASA-SIAM series on statistics and applied probability ; 2.
Subjects:

MARC

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245 1 0 |a Engineering reliability  |h [electronic resource] /  |c Richard E. Barlow. 
260 |a Philadelphia, Pa. :  |b Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104),  |c 1998. 
300 |a 1 online resource (xx, 199 pages) :  |b illustrations, digital file. 
336 |a text  |b txt  |2 rdacontent. 
337 |a computer  |b c  |2 rdamedia. 
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490 1 |a ASA-SIAM series on statistics and applied probability ;  |v 2. 
500 |a Title from title screen, viewed 12/30/2010. 
504 |a Includes bibliographical references (pages 191-193) and index. 
505 0 |a Preface -- Acknowledgements -- Introduction -- Part I. Failure data analysis -- 1. The finite population exponential model -- 2. Lifetime data analysis -- 3. Counting the number of failures -- 4. Strength of materials -- Part II. The economics of maintenance decisions -- 5. The economics of maintenance and inspection -- Part III. System reliability -- 6. Network reliability -- 7. System failure analysis, fault trees -- 8. System availability and maintainability -- 9. Influence diagrams -- 10. Making decisions using influence diagrams -- Appendix A. Classical statistics is logically untenable -- Appendix B. Bayesian decision analysis is self-consistent -- References -- Index. 
520 3 |a Engineering reliability concerns failure data analysis, the economics of maintenance policies, and system reliability. This textbook develops the use of probability and statistics in engineering reliability and maintenance problems. The author uses probability models in the analysis of failure data, decision relative to planned maintenance, and prediction relative to preliminary design. 
650 0 |a Reliability (Engineering)  |0 http://id.loc.gov/authorities/subjects/sh85112511. 
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