Sensibility of Bayesian inference methods for reliability prediction of ageing systems, case of Diesel locomotives

Rachid Ziani, Mohamed-Salah Ouali, Abdelhakim Artiba

Open source

DOI: 10.1080/00207543.2013.857052
Published: 2013-11-21
Container: International Journal of Production Research
Publisher: Informa UK Limited
Open access: unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1080/00207543.2013.857052,
  title = {Sensibility of Bayesian inference methods for reliability prediction of ageing systems, case of Diesel locomotives},
  author = {Rachid Ziani and Mohamed-Salah Ouali and Abdelhakim Artiba},
  year = {2013},
  journal = {International Journal of Production Research},
  doi = {10.1080/00207543.2013.857052},
  url = {https://doi.org/10.1080/00207543.2013.857052}
}

RIS

TY  - JOUR
TI  - Sensibility of Bayesian inference methods for reliability prediction of ageing systems, case of Diesel locomotives
AU  - Rachid Ziani
AU  - Mohamed-Salah Ouali
AU  - Abdelhakim Artiba
PY  - 2013
JO  - International Journal of Production Research
DO  - 10.1080/00207543.2013.857052
UR  - https://doi.org/10.1080/00207543.2013.857052
ER  -

APA

Ziani, R., Ouali, M., & Artiba, A. (2013). Sensibility of Bayesian inference methods for reliability prediction of ageing systems, case of Diesel locomotives. International Journal of Production Research. https://doi.org/10.1080/00207543.2013.857052

Source records

crossref · retrieved 2026-09-25T05:51:05.397Z