Estimation of shifted Weibull distribution parameters using continuous Hopfield neural networks: an application to investment risk modeling

Hamza Abubakar, Amani A. Idris Sayed

Open source

DOI
10.1080/02664763.2025.2585946
Published
2025-11-12
Container
Journal of Applied Statistics
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

Cite this work

BibTeX

@article{allodium:10.1080/02664763.2025.2585946,
  title = {Estimation of shifted Weibull distribution parameters using continuous Hopfield neural networks: an application to investment risk modeling},
  author = {Hamza Abubakar and Amani A. Idris Sayed},
  year = {2025},
  journal = {Journal of Applied Statistics},
  doi = {10.1080/02664763.2025.2585946},
  url = {https://doi.org/10.1080/02664763.2025.2585946}
}

RIS

TY  - JOUR
TI  - Estimation of shifted Weibull distribution parameters using continuous Hopfield neural networks: an application to investment risk modeling
AU  - Hamza Abubakar
AU  - Amani A. Idris Sayed
PY  - 2025
JO  - Journal of Applied Statistics
DO  - 10.1080/02664763.2025.2585946
UR  - https://doi.org/10.1080/02664763.2025.2585946
ER  - 

APA

Abubakar, H., & Sayed, A. A. I. (2025). Estimation of shifted Weibull distribution parameters using continuous Hopfield neural networks: an application to investment risk modeling. Journal of Applied Statistics. https://doi.org/10.1080/02664763.2025.2585946

Source records