Handling Complex Missing Data Using Random Forest Approach for an Air Quality Monitoring Dataset: A Case Study of Kuwait Environmental Data (2012 to 2018)

In environmental research, missing data are often a challenge for statistical modeling. This paper addressed some advanced techniques to deal with missing values in a data set measuring air quality using a multiple imputation (MI) approach. MCAR, MAR, and NMAR missing data techniques are applied to...

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Detalles Bibliográficos
Autores principales: Alsaber, Ahmad R., Pan, Jiazhu, Al-Hurban , Adeeba
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908071/
https://www.ncbi.nlm.nih.gov/pubmed/33540610
http://dx.doi.org/10.3390/ijerph18031333

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908071/
https://www.ncbi.nlm.nih.gov/pubmed/33540610
http://dx.doi.org/10.3390/ijerph18031333

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