On selection of optimal stochastic model for accelerated life testing

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F14%3A00444111" target="_blank" >RIV/67985556:_____/14:00444111 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.ress.2014.04.015" target="_blank" >http://dx.doi.org/10.1016/j.ress.2014.04.015</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ress.2014.04.015" target="_blank" >10.1016/j.ress.2014.04.015</a>

Result language
angličtina
Original language name
On selection of optimal stochastic model for accelerated life testing
Original language description
This paper deals with the problem of proper lifetime model selection in the context of statistical reliability analysis. Namely, we consider regression models describing the dependence of failure intensities on a covariate, for instance a stressor. Testing the model fit is standardly based on the so-called martingale residuals. Their analysis has already been studied by many authors. Nevertheless, the Bayes approach to the problem is just developing. We shall present the Bayes procedure of stimation inseveral semi-parametric regression models of failure intensity. Then, our main concern is the Bayes construction of residual processes and goodness-of-fit tests basedon them.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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