Front Cover; Contents; Preface; List of Figures; List of Tables; List of Examples; 1. Basic Descriptive Statistics; 2. Reliability Concepts; 3. Exponential Distribution; 4. Weibull Distribution; 5. Normal and Lognormal Distributions; 6. Reliability Data Plotting; 7. Analysis of Multicensored Data; 8. Physical Acceleration Models; 9. Alternative Reliability Models; 10. System Failure Modeling: Bottom-Up Approach; 11. Quality Control in Reliability: Applications of Discrete Distributions; 12. Repairable Systems Part I: Nonparametric Analysis and Renewal Processes
13. Repairable Systems Part II: Nonrenewal Processes14. Bayesian Reliability Evaluation; Answers to Selected Exercises; References
Summary
Basic Descriptive StatisticsPopulations and SamplesHistograms and Frequency FunctionsCumulative Frequency FunctionThe Cumulative Distribution Function and the Probability Density FunctionProbability ConceptsRandom VariablesSample Estimates of Population ParametersHow to Use Descriptive StatisticsData SimulationReliability ConceptsReliability FunctionSome Important ProbabilitiesHazard Function or Failure RateCumulative Hazard FunctionAverage Failure RateUnitsBathtub Curve for Failure RatesRecurrence and Renewal RatesMean Time to Failure and Residual LifetimeTypes of DataFailure Mode SeparationE
Bibliography
Includes bibliographical references (pages 551-556) and index