An Application of a Zero‐inflated Lifetime Distribution with Multiple and Incomplete Data Sources | Zendy

Hamada M. S. | Zendy; Margevicius K. J. | Zendy

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

Author(s) -

Hamada M. S.,

Margevicius K. J.

Publication year - 2016

Publication title -

quality and reliability engineering international

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.913

H-Index - 62

eISSN - 1099-1638

pISSN - 0748-8017

DOI - 10.1002/qre.1972

Subject(s) - goodness of fit , statistics , sample (material) , zero (linguistics) , population , econometrics , distribution (mathematics) , mathematics , computer science , demography , physics , mathematical analysis , linguistics , philosophy , sociology , thermodynamics

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.

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