Novel Methods for Imputing Missing Values in Water Level Monitoring Data
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DOI: 10.1007/s11269-022-03408-6
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References listed on IDEAS
- Wai Yan Lai & K. K. Kuok, 2019. "A Study on Bayesian Principal Component Analysis for Addressing Missing Rainfall Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(8), pages 2615-2628, June.
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Cited by:
- Tuğçe Hırca & Gökçen Eryılmaz Türkkan, 2024. "Assessment of Different Methods for Estimation of Missing Rainfall Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(15), pages 5945-5972, December.
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Keywords
Time series; Incomplete subsequence; Water level telemetry monitoring; Missing data imputation;All these keywords.
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