Author:
Thongsri Thidarat,Samart Klairung
Reference26 articles.
1. H. Aguilera, C. Guardiola-Albert, and C. Serrano-Hidalgo, ‘‘Estimating extremely large amounts of missing precipitation data,’’ J. Hydroinform. 22, 578–592 (2020).
2. R. R. Andridge and R. J. Little, ‘‘A review of hot deck imputation for survey non-response,’’ Int. Stat. Rev. 78, 40–64 (2010).
3. K. B. Best, J. M. Gilligan, H. Baroud, A. R. Carrico, K. M. Donato, B. A. Ackerly, and B. Mallick, ‘‘Random forest analysis of two household surveys can identify important predictors of migration in Bangladesh,’’ J. Comput. Soc. Sci. 4, 77–100 (2017).
4. P. Chaovanaphan and W. Chaimongkol, ‘‘A comparison of the estimation methods for missing data in sample survey,’’ J. Appl. Sci. 16, 60–73 (2017).
5. P. Cortez and A. D. Morais, A Data Mining Approach to Predict Forest Fires Using Meteorological Data. https://archive.ics.uci.edu/ml/datasets/Algerian+Forest+Fires+Dataset++. Accessed 2022.
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