A Random Effects Model for Multivariate Life Data

Alan C. Kimber
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Alan C. Kimber: University of Surrey, Department of Mathematical and Computing Sciences

A chapter in Lifetime Data: Models in Reliability and Survival Analysis, 1996, pp 167-174 from Springer

Abstract: Abstract The Weibull distribution is a natural starting point in the modelling of failure times and material strength data. In recent years there has been a growing interest in the modelling of heterogeneity within this context. A natural approach is to consider a mixture, either discrete or continuous, of Weibull distributions. A judicious choice of mixing distribution can lead to a tractable and flexible generalization of the Weibull distribution. An example is the Burr distribution, which is a gamma mixture of Weibull distributions, and this is used in the paper to illustrate the approach. Some relevant statistical methods are introduced and various applications are discussed.

Keywords: Random Effect Model; Weibull Distribution; Failure Time; Weibull Model; Covariate Information (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_23

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DOI: 10.1007/978-1-4757-5654-8_23

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