Forecasting auditor's going concern opinion using with hybrid robust machine learning model.

Ejder U, Yaşar A

Open source

DOI
10.1371/journal.pone.0345071
Published
2026
Container
PloS one
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0345071,
  title = {Forecasting auditor's going concern opinion using with hybrid robust machine learning model.},
  author = {Ejder U and Yaşar A},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0345071},
  url = {https://doi.org/10.1371/journal.pone.0345071}
}

RIS

TY  - JOUR
TI  - Forecasting auditor's going concern opinion using with hybrid robust machine learning model.
AU  - Ejder U
AU  - Yaşar A
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0345071
UR  - https://doi.org/10.1371/journal.pone.0345071
ER  - 

APA

U, E., & A, Y. (2026). Forecasting auditor's going concern opinion using with hybrid robust machine learning model.. PloS one. https://doi.org/10.1371/journal.pone.0345071

Source records