Robust estimation methods for addressing multicollinearity and outliers in beta regression models

Olalekan T. Olaluwoye, Adewale F. Lukman, Masad A. Alrasheedi, Wycliffe N. Nzomo, Rasha A. Farghali

Open source

DOI: 10.1038/s41598-025-85553-7
Published: 2025-04-04
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-85553-7,
  title = {Robust estimation methods for addressing multicollinearity and outliers in beta regression models},
  author = {Olalekan T. Olaluwoye and Adewale F. Lukman and Masad A. Alrasheedi and Wycliffe N. Nzomo and Rasha A. Farghali},
  year = {2025},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-025-85553-7},
  url = {https://doi.org/10.1038/s41598-025-85553-7}
}

RIS

TY  - JOUR
TI  - Robust estimation methods for addressing multicollinearity and outliers in beta regression models
AU  - Olalekan T. Olaluwoye
AU  - Adewale F. Lukman
AU  - Masad A. Alrasheedi
AU  - Wycliffe N. Nzomo
AU  - Rasha A. Farghali
PY  - 2025
JO  - Scientific Reports
DO  - 10.1038/s41598-025-85553-7
UR  - https://doi.org/10.1038/s41598-025-85553-7
ER  -

APA

Olaluwoye, O. T., Lukman, A. F., Alrasheedi, M. A., Nzomo, W. N., & Farghali, R. A. (2025). Robust estimation methods for addressing multicollinearity and outliers in beta regression models. Scientific Reports. https://doi.org/10.1038/s41598-025-85553-7

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crossref · retrieved 2026-09-27T09:52:45.018Z