book chapter · Lecture notes in mechanical engineering · 2015
Bayesian Reliability with MCMC: Opportunities and Challenges
Cited by 3Abstract and details only
Abstract
The index has no abstract for this paper. The publisher’s page may have one.
Cite this paper
Lin, J. (2015). Bayesian Reliability with MCMC: Opportunities and Challenges. Lecture notes in mechanical engineering, 575–585. https://doi.org/10.1007/978-3-319-23597-4_41
Lin, Jing. “Bayesian Reliability with MCMC: Opportunities and Challenges.” Lecture notes in mechanical engineering, 2015, pp. 575–85, https://doi.org/10.1007/978-3-319-23597-4_41.
Lin, Jing. 2015. “Bayesian Reliability with MCMC: Opportunities and Challenges.” Lecture notes in mechanical engineering: 575–85. https://doi.org/10.1007/978-3-319-23597-4_41.
Lin, J. (2015) ‘Bayesian Reliability with MCMC: Opportunities and Challenges’, Lecture notes in mechanical engineering, pp. 575–585. Available at: https://doi.org/10.1007/978-3-319-23597-4_41.
@incollection{lin2015bayesian,
title = {{Bayesian Reliability with MCMC: Opportunities and Challenges}},
author = {Lin, Jing},
booktitle = {Lecture notes in mechanical engineering},
pages = {575--585},
year = {2015},
doi = {10.1007/978-3-319-23597-4_41}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.