Comparison of Missing Data Infilling Mechanisms for Recovering a Real-World Single Station Streamflow Observation

Comparison of Missing Data Infilling Mechanisms for Recovering a Real-World Single Station Streamflow Observation

Reconstructing missing streamflow data can be challenging when additional data are not available, and missing data imputation of real-world datasets to investigate how to ascertain the accuracy of imputation algorithms for these datasets are lacking. This study investigated the necessary complexity...

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Bibliographic Details
Main Authors: Thelma Dede Baddoo, Zhijia Li, Samuel Nii Odai, Kenneth Rodolphe Chabi Boni, Isaac Kwesi Nooni, Samuel Ato Andam-Akorful
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:International Journal of Environmental Research and Public Health
Subjects:
missing data
univariate imputation
multiple imputation
SPSS
R
China
Online Access:https://www.mdpi.com/1660-4601/18/16/8375

Internet

https://www.mdpi.com/1660-4601/18/16/8375

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