Time Series Forecasting of Suicide Mortality in Europe: A Comparative Performance Analysis of ARIMA, Holt-Winters Exponential Smoothing, and Naive Models (1950--2019)
- DOI
- 10.54536/ajmsi.v5i1.6363
- Published
- 2026-01-18
- Container
- American Journal of Medical Science and Innovation
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.54536/ajmsi.v5i1.6363,
title = {Time Series Forecasting of Suicide Mortality in Europe: A Comparative Performance Analysis of ARIMA, Holt-Winters Exponential Smoothing, and Naive Models (1950--2019)},
author = {Mehrez Ben Nasr and Sirine Ben Othman},
year = {2026},
journal = {American Journal of Medical Science and Innovation},
doi = {10.54536/ajmsi.v5i1.6363},
url = {https://doi.org/10.54536/ajmsi.v5i1.6363}
}RIS
TY - JOUR TI - Time Series Forecasting of Suicide Mortality in Europe: A Comparative Performance Analysis of ARIMA, Holt-Winters Exponential Smoothing, and Naive Models (1950--2019) AU - Mehrez Ben Nasr AU - Sirine Ben Othman PY - 2026 JO - American Journal of Medical Science and Innovation DO - 10.54536/ajmsi.v5i1.6363 UR - https://doi.org/10.54536/ajmsi.v5i1.6363 ER -
APA
Nasr, M. B., & Othman, S. B. (2026). Time Series Forecasting of Suicide Mortality in Europe: A Comparative Performance Analysis of ARIMA, Holt-Winters Exponential Smoothing, and Naive Models (1950--2019). American Journal of Medical Science and Innovation. https://doi.org/10.54536/ajmsi.v5i1.6363
Source records
- hal · retrieved 2026-09-25T20:41:45.248Z