Component Reliability

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

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.


Posterior Distribution Markov Chain Monte Carlo Prior Distribution Bayesian Information Criterion Weibull Distribution 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science+Business Media, LLC 2008

Personalised recommendations