This chapter presents models for various types of component reliability data, which consist of sampling and prior distributions. Several examples with real data, including some for which the data are censored, illustrate the use of these models in assessing component reliability. The complexity of some of these examples requires the use of hierarchical models. This chapter also introduces methods for model selection.
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© 2008 Springer Science+Business Media, LLC
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(2008). Component Reliability. In: Bayesian Reliability. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-77950-8_4
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DOI: https://doi.org/10.1007/978-0-387-77950-8_4
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-77948-5
Online ISBN: 978-0-387-77950-8
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