### Abstract

This paper provides a statistical model for estimating the failure probability in the field given the known numbers of customers and reported failures. In this research we have studied two cases. In the first case we assume that the probabilities to fulfill the specification and to report the failure are known. In the second case we assume that these two probabilities are unknown, but we apply the Bayes method to incorporate engineering beliefs. We have proved in both cases that our new developed model yields good results. Further research is needed if more than one specification is tested.

Original language | English |
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Title of host publication | Proceedings of the Annual Reliability and Maintainability Symposium |

Place of Publication | Piscataway |

Publisher | Institute of Electrical and Electronics Engineers |

Pages | 256-260 |

Number of pages | 5 |

ISBN (Print) | 0-7803-8824-0 |

DOIs | |

Publication status | Published - 2005 |

Event | conference; The Annual Reliability and Maintainability Symposium 2005 (RAMS) - Alexandria, United States Duration: 24 Jan 2005 → 27 Jan 2005 |

### Conference

Conference | conference; The Annual Reliability and Maintainability Symposium 2005 (RAMS) |
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Country | United States |

City | Alexandria |

Period | 24/01/05 → 27/01/05 |

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## Cite this

Ion, R. A. (2005). Statistical methods for estimating the failure probability in the field. In

*Proceedings of the Annual Reliability and Maintainability Symposium*(pp. 256-260). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/RAMS.2005.1408371