Encyclopedia of Statistics in Quality and Reliability
Accelerated Life Tests: Bayesian Models
Publication
, Chapter
Soyer, R; Erkanli, A; Merrick, JR
January 1, 2008
In this article we consider accelerated life test models where the effect of accelerated environments on failure behavior is described by time transformation functions. We present extensions of basic models by introducing hierarchical and dynamic strategies to allow for changes in the time transformation function with the accelerated environment. We develop Markov chain Monte Carlo methods to make Bayesian inferences from these models where no analytical forms are available for the posterior and predictive distributions of interest. We illustrate our approach with two examples and discuss what type of insights can be obtained from Bayesian analysis.
Duke Scholars
Citation
APA
Chicago
ICMJE
MLA
NLM
Soyer, R., Erkanli, A., & Merrick, J. R. (2008). Accelerated Life Tests: Bayesian Models. In Encyclopedia of Statistics in Quality and Reliability (pp. 1–10). https://doi.org/10.1002/9780470061572.eqr517
Soyer, R., A. Erkanli, and J. R. Merrick. “Accelerated Life Tests: Bayesian Models.” In Encyclopedia of Statistics in Quality and Reliability, 1–10, 2008. https://doi.org/10.1002/9780470061572.eqr517.
Soyer R, Erkanli A, Merrick JR. Accelerated Life Tests: Bayesian Models. In: Encyclopedia of Statistics in Quality and Reliability. 2008. p. 1–10.
Soyer, R., et al. “Accelerated Life Tests: Bayesian Models.” Encyclopedia of Statistics in Quality and Reliability, 2008, pp. 1–10. Scopus, doi:10.1002/9780470061572.eqr517.
Soyer R, Erkanli A, Merrick JR. Accelerated Life Tests: Bayesian Models. Encyclopedia of Statistics in Quality and Reliability. 2008. p. 1–10.