1. Adamowski, J., Fung Chan, H., Prasher, S. O., Ozga-Zielinski, B., and Sliusarieva, A.: Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada, Water Resour. Res., 48, W01528, https://doi.org/10.1029/2010WR009945, 2012.
2. Aikaike, H.: Information theory and an extension of the maximum likelihood principle, in: Proceedings of the Second International Symposium on Information Theory, edited by: Petrov, B. N. and Caski, F., 267–281, Budapest: Akademiai Kiado, 1973.
3. Amatya, D. M. and Radecki-Pawlik, A.: Flow dynamics of three forested watersheds in coastal South Carolina, USA, ACTA Scientarium Polonorum Formatio Circumiectus, 6, 3–17, 2007.
4. Amatya, D. M. and Skaggs, R. W.: Long-term hydrology and water quality of a drained pine plantation in North Carolina, Trans. ASABE, 54, 2087–2098, 2011.
5. Amatya, D. M. and Trettin, C. C.: Development of watershed hydrologic studies at Santee Experimental Forest, South Carolina, in: Proceedings of the Forest Service National Earth Sciences Conference, edited by: Furniss, M., C. Clifton, C., and Ronnenberg, K., PNW-GTR-689, 180–190, Portland, OR, 2007.