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Assessing Product Reliability

This chapter describes the terms, models and techniques used to evaluate and predict product reliability. 
1. Introduction
  1. Why important?
  2. Basic terms and models
  3. Common difficulties
  4. Modeling "physical acceleration"
  5. Common acceleration models
  6. Basic non-repairable lifetime distributions
  7. Basic models for repairable systems
  8. Evaluate reliability "bottom-up"
  9. Modeling reliability growth
  10. Bayesian methodology 
2. Assumptions/Prerequisites
  1. Choosing appropriate life distribution
  2. Plotting reliability data
  3. Testing assumptions
  4. Choosing a physical acceleration model
  5. Models and assumptions for Bayesian methods 
3. Reliability Data Collection
  1. Planning reliability assessment tests
4. Reliability Data Analysis
  1. Estimating parameters from censored data
  2. Fitting an acceleration model
  3. Projecting reliability at use conditions
  4. Comparing reliability between two or more populations
  5. Fitting system repair rate models
  6. Estimating reliability using a Bayesian gamma prior 
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References for Chapter 8
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