3. J. Kim, N. Park, S. Yun, S. Chae, S. Yoon, Application of isolation forest technique for outlier detection in water quality data, J. Korean Soc. Environ. Eng., 40(12), 473-480(2018).
4. S. M. Yoon, S. S. Kim, S. H. Chae, N. S. Park, Introducing new outlier detection method using robust statistical distance in water quality data, Desalin. Water Treat., 149, 157-163(2019).
5. S. H. Lee, Outlier detection and treatment using R Free Academy, Paju, Korea(2015).
6. Y. J. Kim, J. C. Yoon, S. Y. Jei, A study for relative purchasing power parity using a empirical mode decomposition, JKDAS., 16(2), 785-793(2014).
7. N. E. Huang, Z. Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N. C. Yen, C. C. Tung, H. H. Liu, The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis, in Proceedings of the Royal Society of London A Mathematical, Physical and Engineering Sciences, Proc. R. Soc. Lond. ALondon, pp. 903-995(1998).
8. T. Lee, T. B. M. J. Ouarda, Stochastic simulation of nonstationary oscillation hydroclimatic processes using empirical mode decomposition, Water Resour. Res., 48(2), W02514(2012).
9. S. J. Loutridis, Damage detection in gear systems using empirical mode decomposition, Eng. Struct., 26(12), 1833-1841(2004).
10. S. H. Park, J. H. Choi, A study on fault classification by eemd application of gear transmission error, J. Comput. Struct. Eng. Inst. Korea., 30(2), 169-177(2017).
11. Z. Wu, N. E. Huang, Ensemble empirical mode decomposition: a noise-assisted data analysis method, Adv. Adapt. Data Anal., 1(1), 1-41(2009).
12. Z. Yang, Y. Liu, D. Hou, T. Feng, Y. Wei, J. Zhang, P. Huang, G. Zhang, Water quality event detection based on multivariate empirical mode decomposition, in Proceedings of 2014 IEEE International Conference on Systems, Man, and Cybernetics, IEEE. San Diego, pp. 2663-2668(2014).
13. G. Sun, P. Jiang, H. Xu, S. Yu, D. Guo, G. Lin, H. Wu, Outlier detection and correction for monitoring data of water quality based on improved VMD and LSSVM, Complexity., 2019, 12(2019).
14. C. Chen, L. M. Liu, Joint estimation of model parameters and outlier effects in time series, J. Am. Stat. Assoc., 88(421), 284-297(1993).
15. M. Hubert, E. Vandervieren, An adjusted boxplot for skewed distributions, Computational Statistics&Data Analysis., 52(12), 5186-5201(2008).
16. R. D. Cook, Detection of influential observation in linear regression, Technometrics., 19(1), 15-18(1977).
17. C. R. Kim, B. E. Storer, Reference value for Cook’s distance, Commun. Stat.-Simul. Comput., 25(3), 691-708(1996).