Statistical methods for estimating the failure probability in the field

Roxana A. Ion

doi:10.1109/RAMS.2005.1408371

Statistical methods for estimating the failure probability in the field

Roxana A. Ion

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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
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	https://doi.org/10.1109/RAMS.2005.1408371
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)
Country/Territory	United States
City	Alexandria
Period	24/01/05 → 27/01/05

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10.1109/RAMS.2005.1408371

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title = "Statistical methods for estimating the failure probability in the field",

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.",

author = "Ion, {Roxana A.}",

year = "2005",

doi = "10.1109/RAMS.2005.1408371",

language = "English",

isbn = "0-7803-8824-0",

pages = "256--260",

booktitle = "Proceedings of the Annual Reliability and Maintainability Symposium",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "conference; The Annual Reliability and Maintainability Symposium 2005 (RAMS) ; Conference date: 24-01-2005 Through 27-01-2005",

}

Ion, RA 2005, Statistical methods for estimating the failure probability in the field. in Proceedings of the Annual Reliability and Maintainability Symposium. Institute of Electrical and Electronics Engineers, Piscataway, pp. 256-260, conference; The Annual Reliability and Maintainability Symposium 2005 (RAMS), Alexandria, United States, 24/01/05. https://doi.org/10.1109/RAMS.2005.1408371

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AU - Ion, Roxana A.

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

U2 - 10.1109/RAMS.2005.1408371

DO - 10.1109/RAMS.2005.1408371

M3 - Conference contribution

SN - 0-7803-8824-0

SP - 256

EP - 260

BT - Proceedings of the Annual Reliability and Maintainability Symposium

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - conference; The Annual Reliability and Maintainability Symposium 2005 (RAMS)

Y2 - 24 January 2005 through 27 January 2005

ER -

Statistical methods for estimating the failure probability in the field

Abstract

Conference

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