Marvin Rausand, Arnljot Hoyland

System Reliability Theory

Models, Statistical Methods, and Applications

• Gebundenes Buch

Produktbeschreibung

A thoroughly updated and revised look at system reliability theory
Since the first edition of this popular text was published nearly a decade ago, new standards have changed the focus of reliability engineering and introduced new concepts and terminology not previously addressed in the engineering literature. Consequently, the Second Edition of System Reliability Theory: Models, Statistical Methods, and Applications has been thoroughly rewritten and updated to meet current standards.

To maximize its value as a pedagogical tool, the Second Edition features:

Additional chapters on reliability of maintained systems and reliability assessment of safety-critical systems
Discussion of basic assessment methods for operational availability and production regularity
New concepts and terminology not covered in the first edition
Revised sequencing of chapters for better pedagogical structure
New problems, examples, and cases for a more applied focus
An accompanying Web site with solutions, overheads, and supplementary information
With its updated practical focus, incorporation of industry feedback, and many new examples based on real industry problems and data, the Second Edition of this important text should prove to be more useful than ever for students, instructors, and researchers alike.

Produktdetails

• Wiley Series in Probability and Statistics
• Verlag: Wiley & Sons
• 2nd Edition
• Seitenzahl: 664
• Englisch
• Gewicht: 1050g
• ISBN-13: 9780471471332
• ISBN-10: 047147133X
• Artikelnr.: 12347718

Autorenporträt

MARVIN RAUSAND is a Professor in the Department ofProduction and Quality Engineering at the Norwegian University ofScience and Technology.

The late ARNLJOT HØYLAND, PhD, was a Professor inthe Department of Mathematical Sciences at the Norwegian Universityof Science and Technology. Dr. Høyland died in December 2002at the age of 78.

Inhaltsangabe

Preface to the Second Edition.

Preface to the First Edition.

Acknowledgments.

1. Introduction.

2. Failure Models.

3. Qualitative Systems Analysis.

4. Systems of Independent Components.

5. Component Importance.

6. Dependent Failures.

7. Counting Processes.

8. Markov Models.

9. Reliability of Maintained Systems.

10. Reliability of Safety Systems.

11. Life Data Analysis.

12. Accelerated Life Testing.

13. Bayesian Reliability Analysis.

14. Reliability Data Sources.

Appendix A. The Gamma and Beta Functions.

Appendix B. Laplace Transforms.

Appendix C. Kronecker Products.

Appendix D. Distribution Theorems.

Appendix E. Maximum Likelihood Estimation.

Appendix F. Statistical Tables.

Acronyms.

Glossary.

References.

Author Index.

Subject Index.

Rezensionen

"Students will like this well-written book, and statisticians withinterest in distribution theory will find it thought provoking."(Journal of Statistical Computation and Simulation, June2005)

"The second edition has been thoroughly rewritten andupdated to meet current standards." (ZentralblattMath, Vol.1052, No.3, 2005)

"The authors have done a good job creating a rich resource for awide variety of readers interested in this important area ofresearch." (Journal of the American Statistical Association,December 2004)

"If you like and own the 1E, I expect that you would want topurchase this second edition. Overall, it is 20% larger andconsiderably enhanced with new material and new topics."(Technometrics, November 2004)

"...a useful reference and handbook for both industrialstatisticians and system reliability engineers. It can be used as atext for senior undergraduate and graduate students..."(Mathematical Reviews, 2004k)

"...perfect for engineers in design, process and quality to helpbuild a more robust product or process." (QualityProgress, October 2004)

"...provides a comprehensive treatment of systemreliability theory" (Short Book Reviews, August2004)