MULTIPLE IMPUTATION FOR HYDROLOGICAL MISSING DATA BY USING A REGRESSION METHOD (KLANG RIVER BASIN)
Author:
Publisher
eSAT Publishing House
Subject
General Engineering
Link
http://esatjournals.net/ijret/2015v04/i06/IJRET20150406090.pdf
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Use of long short-term memory network (LSTM) in the reconstruction of missing water level data in the River Seine;Hydrological Sciences Journal;2023-06-21
2. Comparing Single and Multiple Imputation Approaches for Missing Values in Univariate and Multivariate Water Level Data;Water;2023-04-13
3. Days-ahead water level forecasting using artificial neural networks for watersheds;Mathematical Biosciences and Engineering;2022
4. Infilling Missing Data in Hydrology: Solutions Using Satellite Radar Altimetry and Multiple Imputation for Data-Sparse Regions;Water;2018-10-20
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