Each volume is a complete guide and reference to product reliability testing. Encyclopedic in scope, it covers all steps from planning and test selection to test procedure and results analysis. Volume 1 delivers must-have information on a variety of distributions, including the Chi-Square, Exponential, Normal, Lognormal, Weibull, Gamma, and others.
Content:
Front Matter
• Preface
• Table of Contents
1. Objectives, Types, Scheduling and Management of Reliability and Life Testing
2. Reliability and Life Data - Their Acquisition and Processing
3. Five Very Important Analytical Functions in Reliability and Life Testing
4. Failure Frequency, Failure Rate and Reliability Determination from Field Data
5. Chi-Square, Student's t and F Distributions
6. The Exponential Distribution
7. MTBF Confidence Limits, Test Time and OC Curves for the Exponential Case
8. Tests of Comparison of the Mean Life for the Exponential Case
9. The Normal Distribution
10. Confidence Interval on the Mean Life and on the Reliability of Normally Distributed Data
11. The Lognormal Distribution
12. The Weibull Distribution
13. Confidence Limits on the Reliability with Weibull Distributed Times to Failure, as Well as on the Mean Life, Mission Duration, β and η
14. Ranks Not Available in Tables
15. Tests of Comparison for the Weibull Distribution
16. The Gamma Distribution
17. The Beta Distribution
18. Methods of Parameter Estimation
19. Chi-Squared Goodness-of-Fit Test
20. Kolmogorov-Smirnov Goodness-of-Fit Test
21. Anderson-Darling and Cramer-von Mises Goodness-of-Fit Tests
Appendices
Index
• About the Author