Cross-Sectional Analysis of Impulse Indicator Saturation Method for Outlier Detection Estimated via Regularization Techniques with Application of COVID-19 Data

Impulse indicator saturation is a popular method for outlier detection in time series modeling, which outperforms the least trimmed squares (LTS), M-estimator, and MM-estimator. However, using the IIS method for outlier detection in cross-sectional analysis has remained unexplored. In this paper, we...

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Detalles Bibliográficos
Autores principales: Muhammadullah, Sara, Urooj, Amena, Mengal, Muhammad Hashim, Khan, Shahzad Ali, Khalaj, Fereshteh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073553/
https://www.ncbi.nlm.nih.gov/pubmed/35529268
http://dx.doi.org/10.1155/2022/2588534

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073553/
https://www.ncbi.nlm.nih.gov/pubmed/35529268
http://dx.doi.org/10.1155/2022/2588534

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