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Evaluating imputation methods for rainfall data under high variability in Johor River Basin, Malaysia

Missing values in rainfall records might result in erroneous predictions and inefficient management practices with significant economic, environmental, and social consequences. This is particularly important for rainfall datasets in Peninsular Malaysia (PM) due to the high level of missingness that...

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Bibliographic Details
Main Authors: Sa’adi, Zulfaqar, Yusop, Zulkifli, Alias, Nor Eliza, Chow, Ming Fai, Muhammad, Mohd. Khairul Idlan, Ramli, Muhammad Wafiy Adli, Iqbal, Zafar, Shiru, Mohammed Sanusi, Wira Rohmat, Faizal Immaddudin, Mohamad, Nur Athirah, Ahmad, Mohamad Faizal
Format: Article
Language:English
Published: Elsevier B.V. 2023
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/105055/1/NorElizaAlias2023_EvaluatingImputationMethodsforRainfallData.pdf
http://eprints.utm.my/105055/
http://dx.doi.org/10.1016/j.acags.2023.100145
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http://eprints.utm.my/105055/1/NorElizaAlias2023_EvaluatingImputationMethodsforRainfallData.pdf
http://eprints.utm.my/105055/
http://dx.doi.org/10.1016/j.acags.2023.100145

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