Bayesian and non-bayesian approaches for estimating the Epanechnikov-Weibull distribution with applications in engineering and electronics data.
- DOI
- 10.1038/s41598-026-52478-8
- Published
- 2026 Jun 8
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-52478-8,
title = {Bayesian and non-bayesian approaches for estimating the Epanechnikov-Weibull distribution with applications in engineering and electronics data.},
author = {Taher TS and Barakat HM and Alqifari HN and Alawady MA and Mansour GM},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-52478-8},
url = {https://doi.org/10.1038/s41598-026-52478-8}
}RIS
TY - JOUR TI - Bayesian and non-bayesian approaches for estimating the Epanechnikov-Weibull distribution with applications in engineering and electronics data. AU - Taher TS AU - Barakat HM AU - Alqifari HN AU - Alawady MA AU - Mansour GM PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-52478-8 UR - https://doi.org/10.1038/s41598-026-52478-8 ER -
APA
TS, T., HM, B., HN, A., MA, A., & GM, M. (2026). Bayesian and non-bayesian approaches for estimating the Epanechnikov-Weibull distribution with applications in engineering and electronics data.. Scientific reports. https://doi.org/10.1038/s41598-026-52478-8
Source records
- pubmed · retrieved 2026-09-26T03:36:09.897Z