A comparative study of different imputation methods for daily rainfall data in east-coast Peninsular Malaysia
Rainfall data are the most significant values in hydrology and climatology modelling. However, the datasets are prone to missing values due to various issues. This study aspires to impute the rainfall missing values by using various imputation method such as Replace by Mean, Nearest Neighbor, Random...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Published: |
Universitas Ahmad Dahlan
2020
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/6100/ |
| _version_ | 1848888714625810432 |
|---|---|
| author | Che Mat Nor, Siti Mariana Shaharudin, Shazlyn Milleana Ismail, Shuhaida Zainuddin, Nurul Hila Tan, Mou Leong |
| author_facet | Che Mat Nor, Siti Mariana Shaharudin, Shazlyn Milleana Ismail, Shuhaida Zainuddin, Nurul Hila Tan, Mou Leong |
| author_sort | Che Mat Nor, Siti Mariana |
| building | UTHM Institutional Repository |
| collection | Online Access |
| description | Rainfall data are the most significant values in hydrology and climatology modelling. However, the datasets are prone to missing values due to various issues. This study aspires to impute the rainfall missing values by using various imputation method such as Replace by Mean, Nearest Neighbor, Random Forest, Non-linear Interactive Partial Least-Square (NIPALS) and Markov Chain Monte Carlo (MCMC). Daily rainfall datasets from 48 rainfall stations across east-coast Peninsular Malaysia were used in this study. The dataset were then fed into Multiple Linear Regression (MLR) model. The performance of abovementioned methods were evaluated using Root Mean Square Method (RMSE), Mean Absolute Error (MAE) and Nash-Sutcliffe Efficiency Coefficient (CE). The experimental results showed that RF coupled with MLR (RF-MLR) approach was attained as more fitting for satisfying the missing data in east-coast Peninsular Malaysia. |
| first_indexed | 2025-11-15T20:14:40Z |
| format | Article |
| id | uthm-6100 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T20:14:40Z |
| publishDate | 2020 |
| publisher | Universitas Ahmad Dahlan |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-61002022-01-26T07:00:30Z http://eprints.uthm.edu.my/6100/ A comparative study of different imputation methods for daily rainfall data in east-coast Peninsular Malaysia Che Mat Nor, Siti Mariana Shaharudin, Shazlyn Milleana Ismail, Shuhaida Zainuddin, Nurul Hila Tan, Mou Leong QC980-999 Climatology and weather Rainfall data are the most significant values in hydrology and climatology modelling. However, the datasets are prone to missing values due to various issues. This study aspires to impute the rainfall missing values by using various imputation method such as Replace by Mean, Nearest Neighbor, Random Forest, Non-linear Interactive Partial Least-Square (NIPALS) and Markov Chain Monte Carlo (MCMC). Daily rainfall datasets from 48 rainfall stations across east-coast Peninsular Malaysia were used in this study. The dataset were then fed into Multiple Linear Regression (MLR) model. The performance of abovementioned methods were evaluated using Root Mean Square Method (RMSE), Mean Absolute Error (MAE) and Nash-Sutcliffe Efficiency Coefficient (CE). The experimental results showed that RF coupled with MLR (RF-MLR) approach was attained as more fitting for satisfying the missing data in east-coast Peninsular Malaysia. Universitas Ahmad Dahlan 2020 Article PeerReviewed Che Mat Nor, Siti Mariana and Shaharudin, Shazlyn Milleana and Ismail, Shuhaida and Zainuddin, Nurul Hila and Tan, Mou Leong (2020) A comparative study of different imputation methods for daily rainfall data in east-coast Peninsular Malaysia. Bulletin of Electrical Engineering and Informatics, 9 (2). pp. 635-643. ISSN 2089-3191 https://dx.doi.org/10.11591/eei.v9i2.2090 |
| spellingShingle | QC980-999 Climatology and weather Che Mat Nor, Siti Mariana Shaharudin, Shazlyn Milleana Ismail, Shuhaida Zainuddin, Nurul Hila Tan, Mou Leong A comparative study of different imputation methods for daily rainfall data in east-coast Peninsular Malaysia |
| title | A comparative study of different imputation methods for daily rainfall data in east-coast Peninsular Malaysia |
| title_full | A comparative study of different imputation methods for daily rainfall data in east-coast Peninsular Malaysia |
| title_fullStr | A comparative study of different imputation methods for daily rainfall data in east-coast Peninsular Malaysia |
| title_full_unstemmed | A comparative study of different imputation methods for daily rainfall data in east-coast Peninsular Malaysia |
| title_short | A comparative study of different imputation methods for daily rainfall data in east-coast Peninsular Malaysia |
| title_sort | comparative study of different imputation methods for daily rainfall data in east-coast peninsular malaysia |
| topic | QC980-999 Climatology and weather |
| url | http://eprints.uthm.edu.my/6100/ http://eprints.uthm.edu.my/6100/ |