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DOE OSTI · 1352372

Analyzing degradation data with a random effects spline regression model

Fugate, Michael Lynn·Hamada, Michael Scott·Weaver, Brian Phillip
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Abstract

This study proposes using a random effects spline regression model to analyze degradation data. Spline regression avoids having to specify a parametric function for the true degradation of an item. A distribution for the spline regression coefficients captures the variation of the true degradation curves from item to item. We illustrate the proposed methodology with a real example using a Bayesian approach. The Bayesian approach allows prediction of degradation of a population over time and estimation of reliability is easy to perform.

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97 MATHEMATICS AND COMPUTINGBayesian inferencebasisnatural splinepredictionreliability

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Fugate, Michael Lynn, Hamada, Michael Scott, Weaver, Brian Phillip. 2017-03-17. Analyzing degradation data with a random effects spline regression model. https://doi.org/10.1080/08982112.2017.1307390

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