Handling techniques of time series missing data
| Reference | Method |
|---|---|
| Conventional techniques | |
| Andridge and Little (2010) | Hot and Cold Deck Imputation |
| Strike et al. (2001), Dhevi (2014) | Mean Imputation |
| Little and Rubin (2019) | Multiple Imputation |
| Modern techniques | |
| Lobato et al. (2015), Aydilek et al. (2013), Azadeh et al. (2013) | Genetic Algorithm Optimization Based |
| Wu et al. (2015) | Support Vector Machine |
| Shao et al. (2014) | Interpolation |
| Banbura et al. (2014) | Maximum Likelihood |
| Amiri et al. (2016) | Fuzzy-Rough Set |
| Sitaram et al. (2015) | Similarity Measure |
| Zhang et al. (2022) | Bayesian Dynamic Regression |
| Torres et al. (2021) | DNN |
| Reference | Method |
|---|---|
| Hot and Cold Deck Imputation | |
| Mean Imputation | |
| Multiple Imputation | |
| Genetic Algorithm Optimization Based | |
| Support Vector Machine | |
| Interpolation | |
| Maximum Likelihood | |
| Fuzzy-Rough Set | |
| Similarity Measure | |
| DNN | |
Source(s): Authors’ own work
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