An Application of a Zero-inflated Lifetime Distribution with Multiple and Incomplete Data Sources

We analyze data sampled from a population of parts in which an associated anomaly can occur at assembly or after assembly. Using a zero‐inflated lifetime distribution to fit left‐censored and right‐censored data as well data from a supplementary sample, we make predictions about the proportion of th...

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Bibliographic Details
Published in:Quality and reliability engineering international 2016-12, Vol.32 (8), p.2883-2887
Main Authors: Hamada, M. S., Margevicius, K. J.
Format: Article
Language:English
Subjects:
Anomalies
Assembly
Bayesian inference
binomial and exponential distribution
Data sources
eft-censored and right-censored data
goodness-of-fit
left-censored and right-censored data
MATHEMATICS AND COMPUTING
prediction
Reliability engineering
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Summary:We analyze data sampled from a population of parts in which an associated anomaly can occur at assembly or after assembly. Using a zero‐inflated lifetime distribution to fit left‐censored and right‐censored data as well data from a supplementary sample, we make predictions about the proportion of the population with anomalies today and in the future. Goodness‐of‐fit is also addressed. Copyright © 2016 John Wiley & Sons, Ltd.
ISSN:0748-8017
1099-1638
DOI:10.1002/qre.1972