A novel statistical framework for variability and uncertainty in predictive microbiology demonstrates the impact of the fitting method in prediction uncertainty
- DOI
- 10.1016/j.foodres.2026.120974
- Published
- 2026-12
- Container
- Food Research International
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.foodres.2026.120974,
title = {A novel statistical framework for variability and uncertainty in predictive microbiology demonstrates the impact of the fitting method in prediction uncertainty},
author = {Alberto Garre and Arícia Possas and Silvia Guillén and Sara Bover-Cid and Araceli Bolívar and Antonio Valero and Jean Carlos Correia Peres Costa and Guillermo Cebrián and Pablo S. Fernández and Alfredo Palop and Fernando Pérez-Rodríguez},
year = {2026},
journal = {Food Research International},
doi = {10.1016/j.foodres.2026.120974},
url = {https://doi.org/10.1016/j.foodres.2026.120974}
}RIS
TY - JOUR TI - A novel statistical framework for variability and uncertainty in predictive microbiology demonstrates the impact of the fitting method in prediction uncertainty AU - Alberto Garre AU - Arícia Possas AU - Silvia Guillén AU - Sara Bover-Cid AU - Araceli Bolívar AU - Antonio Valero AU - Jean Carlos Correia Peres Costa AU - Guillermo Cebrián AU - Pablo S. Fernández AU - Alfredo Palop AU - Fernando Pérez-Rodríguez PY - 2026 JO - Food Research International DO - 10.1016/j.foodres.2026.120974 UR - https://doi.org/10.1016/j.foodres.2026.120974 ER -
APA
Garre, A., Possas, A., Guillén, S., Bover-Cid, S., Bolívar, A., Valero, A., Costa, J. C. C. P., Cebrián, G., Fernández, P. S., Palop, A., & Pérez-Rodríguez, F. (2026). A novel statistical framework for variability and uncertainty in predictive microbiology demonstrates the impact of the fitting method in prediction uncertainty. Food Research International. https://doi.org/10.1016/j.foodres.2026.120974
Source records
- crossref · retrieved 2026-11-03T21:41:06.377Z