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Outlier detection and missing data filling methods for coastal water temperature data
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Outlier detection and missing data filling methods for coastal water temperature data

Case Study of Yeong-Deok Geomuyeok (36.58 °N, 129.40 °E) station, Korea

Mrinmoy Majumder's avatar
Mrinmoy Majumder
Mar 04, 2023
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Outlier detection and missing data filling methods for coastal water temperature data
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Abstract: Outlier detection and missing data filling (imputation) processes are the essential first steps in the statistical analysis of coastal monitoring data. Here, we suggest methods for completing these key processes. An outlier detection method that uses approximate and detailed components is suggested. The decomposition of the time-series data is…

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