Hydrological Sciences Journal - 2022 : "Multiple Imputations By Chained Equations For Recovering Missing Daily Streamflow Observations: A Case Study Of Langat River Basin In Malaysia"

Dr. Fatimah Bibi, Hamzah (2022) Hydrological Sciences Journal - 2022 : "Multiple Imputations By Chained Equations For Recovering Missing Daily Streamflow Observations: A Case Study Of Langat River Basin In Malaysia". Hydrological Sciences Journal, 67 (1). pp. 137-149. ISSN 0262-6667 Online 2150-3435

Text Multiple imputations by chained equations for recovering missing daily streamflow observations a case study of Langat River basin in Malaysia.pdf Download (2MB)

Abstract

Missing values in hydrological studies are a common issue for hydrologists, especially in statistical analyses as a complete dataset is required. This work evaluates the performance of the multiple imputations by chained equations (MICE) approach to predicting recurrence in streamflow datasets. To evaluate and verify the effectiveness of the MICE approach in treating missing streamflow data, complete historical daily streamflow data from 2012 to 2014 were used. Later, MICE methods coupled with multiple linear regression (MLR) were applied to restore streamflow rates in Malaysia’s Langat River basin from 1978 to 2016. The best estimation methods are validated with tests such as adjusted R-squared (Adj R2), residual standard error (RSE), and mean absolute percentage error (MAPE). The findings revealed that the classification and regression tree (CART) method combined with MLR outperformed the other approaches tested, with the highest Adj R2 value and the lowest RSE and MAPE values observed regardless of missing conditions.

Item Type:	Article
Uncontrolled Keywords:	missing data; multiple imputations; chained equations; streamflow; CART; MICE
Subjects:	H Social Sciences > HD Industries. Land use. Labor
Divisions:	Institute of Graduate Studies (IGS)
Depositing User:	LIBRARY2 UPTM
Date Deposited:	04 Jun 2025 08:16
Last Modified:	04 Jun 2025 08:16
URI:	http://eprints.kuptm.edu.my/id/eprint/4213

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