Modeling Frailty in Manufacturing Processes

James T. Wassell, Gregory W. Kulczycki and Ernest S. Moyer
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James T. Wassell: National Institute for Occupational Safety and Health
Gregory W. Kulczycki: National Institute for Occupational Safety and Health
Ernest S. Moyer: National Institute for Occupational Safety and Health

A chapter in Lifetime Data: Models in Reliability and Survival Analysis, 1996, pp 353-361 from Springer

Abstract: Abstract The expected service life of respirator safety devices produced by different manufacturers is determined using frailty models to account for unobserved differences in manufacturing process and raw materials. The gamma and positive stable frailty distributions are used to obtain survival distribution estimates when the baseline hazard is assumed to be Weibull. Frailty distributions are compared using laboratory test data of the failure times for 104 respirator cartridges produced by 10 different manufacturers. Likelihood ratio tests results indicate that both frailty models provide a significant improvement over a Weibull model assuming independence. Results are compared to fixed effects approaches for analysis of this data.

Keywords: Frailty Model; Cumulative Hazard Function; Gamma Frailty; Frailty Distribution; Weibull Regression (search for similar items in EconPapers)
Date: 1996
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4757-5654-8_46

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DOI: 10.1007/978-1-4757-5654-8_46

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