Peer-reviewedCC BY-NCReliability: Theory & Applications
Bayesian Probability Papers
- 1Center for Technology and Systems Management, University of Maryland, College Park, MD 20742, USA
- 2Office of Technical Fellow in Quality Engineering, Ford Motor Company, Dearborn, MI 48120, USA
Abstract
The paper introduces a method of Bayesian probability papers for estimating the reliability function of popular in reliability analysis location-scale life time distributions. We use simulation examples to validate the method and a real engineering data example to illustrate its practical application.
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BibTeX
@article{kaminskiy2026bayesian,
title = {{Bayesian Probability Papers}},
author = {M. Kaminskiy and V. Krivtsov},
journal = {Reliability: Theory \& Applications},
year = {2026},
month = sep,
doi = {10.66721/xrswtj21},
url = {https://doi.org/10.66721/xrswtj21},
note = {CC BY-NC},
}
RIS
TY - JOUR
TI - Bayesian Probability Papers
AU - M. Kaminskiy
AU - V. Krivtsov
PY - 2026
DA - 2026/09/01
JO - Reliability: Theory & Applications
DO - 10.66721/xrswtj21
UR - https://doi.org/10.66721/xrswtj21
AB - The paper introduces a method of Bayesian probability papers for estimating the reliability function of popular in reliability analysis location-scale life time distributions. We use simulation examples to validate the method and a real engineering data example to illustrate its practical application.
SN - 1932-2321
ER -