Comparative analysis of imputation methods for missing environmental data: A case study on ozone concentrations
Handling missing values is crucial to environmental data analysis since missing datasets can lead to biassed results. Using Weibull distributions, this study compared six single-imputation methods (mean, median, mean-before-after (MBA), cubic interpolation, linear interpolation, last observation car...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Penerbit Akademi Baru
2025
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/45417/1/FULLTEXT.pdf https://eprints.ums.edu.my/id/eprint/45417/ https://doi.org/10.37934/ard.134.1.6376 |
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