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Assurance Testing

Part of the Springer Series in Statistics book series (SSS)

Planning for Bayesian assurance testing involves determining a test plan that guarantees that a reliability-related quantity of interest meets or exceeds a specified requirement at a desired level of confidence. Within a Bayesian hierarchical framework, this chapter determines test plans for binomial, Poisson, and Weibull testing. Also, we develop Weibull assurance test plans using available data from an associated accelerated life testing program.

Keywords

Markov Chain Monte Carlo Prior Distribution Failure Time Test Plan Risk Criterion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2008

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