Multiple imputations by chained equations for recovering missing daily streamflow observations: a case study of Langat River basin in Malaysia-Reference-Cited by-同舟云学术

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Multiple imputations by chained equations for recovering missing daily streamflow observations: a case study of Langat River basin in Malaysia

Published:2022-01-02 Issue:1 Volume:67 Page:137-149
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Hamzah Fatimah Bibi¹²,Mohamad Hamzah Firdaus¹,Mohd Razali Siti Fatin¹^ORCID,El-Shafie Ahmed³

Affiliation:

1. Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia

2. Faculty of Computing and Multimedia, Kolej Universiti Poly-Tech Mara Kuala Lumpur, Taman Shamelin Perkasa, Malaysia

3. Department of Civil Engineering, Faculty of Engineering, Universiti Malaya, Malaysia

Funder

Geran Universiti Penyelidikan

Geran Penyelidikan Universiti

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2021.2001471

Reference63 articles.

1. An opportunity loss model for estimating the value of streamflow data for reservoir planning

2. A Comparison of Various Imputation Methods for Missing Values in Air Quality Data

3. Streamflow estimation at partially gaged sites using multiple-dependence conditions via vine copulas

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

5. How can I deal with missing data in my study?

Cited by 11 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. Testing the Feasibility of an Agent-Based Model for Hydrologic Flow Simulation;Information;2024-07-30

2. An Imputation Method for Simulating 3D Well Screen Locations from Limited Regional Well Log Data;Groundwater;2024-06-27

3. Infilling of high‐dimensional rainfall networks through multiple imputation by chained equations;International Journal of Climatology;2024-05-25

4. Investigation of using missing data imputation methodologies effect on the SARIMA model performance: application to average monthly flows;RBRH;2024

5. Efficacy of statistical algorithms in imputing missing data of streamflow discharge imparted with variegated variances and seasonalities;Environmental Earth Sciences;2023-09-20

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