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DEALING WITH EXTREME VALUES WITH APPLICATION TO COVID-19 DEATHS

Abdalla Ahmed Alkhalifa Abdalla & Ehab Ahmed M. Frah

Advances and Applications in Statistics2026https://doi.org/10.17654/0972361726010article
ABDC C
Weight
0.50

What the paper says

This study investigated the impact of outliers on biological data, including their detection and manipulation, using COVID-19 mortality data worldwide from January 2023 to April 2024. Outliers were identified and manipulated using both deletion and abbreviated mean methods. The study revealed that outliers negatively affected the results, leading to misleading findings. Manipulating outliers using abbreviated mean yielded better results than deletion. Therefore, it is advisable to exclude outliers from biological data due to their sensitivity. This is important because the presence of outliers in biological data directly impacts the accuracy of statistical analysis and the reliability of results in medical and biological studies.

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https://doi.org/https://doi.org/10.17654/0972361726010

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@article{abdalla2026,
  title        = {{DEALING WITH EXTREME VALUES WITH APPLICATION TO COVID-19 DEATHS}},
  author       = {Abdalla Ahmed Alkhalifa Abdalla & Ehab Ahmed M. Frah},
  journal      = {Advances and Applications in Statistics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.17654/0972361726010},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.