Achite, M., & Ouillon, S. (2007). Suspended sediment transport in a semiarid watershed, Wadi Abd, Algeria (1973–1995). Journal of Hydrology, 343(3), 187-202. http://dx.doi.org/10.1016/j.jhydrol.2007.06.026
Alp, M., & Cigizoglu, H.K. (2007). Suspended sediment load simulation by two artificial neural network methods using hydrometeorological data. Environmental Modelling & Software, 22(1), 2-13. http://dx.doi.org/10.1016/j.envsoft.2005.09.009
Arabkhedri, M., Lai, F.S., Ibrahim, N.A., & Mohamad-Kasim, M.R. (2009). Effect of Adaptive Cluster Sampling Design on Accuracy of Sediment Rating Curve Estimation. Journal of Hydrologic Engineering, 15(2), 142-151. https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29HE.1943- 5584.0000171
Bowlby, H.D., & Gibson, A.J.F. (2015). Environmental effects on survival rates: robust regression, recovery planning and endangered Atlantic salmon. Ecology and evolution, 5(16), 3450-3461. https://doi.org/10.1002/ece3.1614
Chun, J.A., Cooke, R.A., Kang, M.S., Choi, M., Timlin, D., & Park, S.W. (2010). Runoff losses of suspended sediment, nitrogen, and phosphorus from a small watershed in Korea. Journal of environmental quality, 39(3), 981-990. https://doi.org/10.2134/jeq2009.0226
Cohn, T.A., Delong, L.L., Gilroy, E.J., Hirsch, R.M., & Wells, D.K. (1989). Estimating constituent loads. Water resources research, 25(5), 937-942. https://doi.org/ 10.1029/WR025i005p00937
Duan, N. (1983). Smearing estimate: a nonparametric retransformation method. Journal of the American Statistical Association,78(383), 605-610. https://doi.org/10.2307/2288126
Emamgholizadeh, S., & Demneh, R.K. (2019). A comparison of artificial intelligence models for the estimation of daily suspended sediment load: a case study on the Telar and Kasilian rivers in Iran. Water Supply, 19(1), 165-178. https://doi.org/10.2166/WS.2018.062
Ferguson, R.I. (1987). Accuracy and precision of methods for estimating river loads. Earth surface processes and landforms, 12(1), 95-104. https://www.doi.org/10.1002/ESP.3290120111
Horowitz, A.J. (2002). The use of rating (transport) curves to predict suspended sediment concentration: a matter of temporal resolution. InTurbidity and other Sediment Surrogates Workshop. April.
Hu, B., Wang, H., Yang, Z., & Sun, X. (2011). Temporal and spatial variations of sediment rating curves in the Changjiang (Yangtze River) basin and their implications. Quaternary International, 230(1), 34-43. http://dx.doi.org/10.1016%2Fj.quaint.2009.08.018
Huber, P.J. (1973). Robust regression: asymptotics, conjectures and Monte Carlo. The Annals of Statistics, 799-821. https://www.jstor.org/stable/2958283
Huber, P.J. (1981). Robust Statistics. New York, NY: John Wiley & Sons, Inc. https://www.wiley.com/en-us/Robust+Statistics%2C+2nd+Edition-p-9780470129906
Iadanza, C., & Napolitano, F. (2006). Sediment transport time series in the Tiber River. Physics and Chemistry of the Earth, Parts A/B/C, 31(18), 1212-1227. http://dx.doi.org/10.1016/j.pce.2006.05.005
Kao, S., Lee, T., & Milliman, J. D. (2005). Calculating highly fluctuated suspended sediment fluxes from mountainous rivers in Taiwan. Terrestrial Atmospheric and Oceanic Sciences, 16(3), 653. https://doi.org/10.3319/TAO.2005.16.3.653(T)
Kisi, O. (2005). Suspended sediment estimation using neuro-fuzzy and neural network approaches/Estimation des matières en suspension par des approches neurofloues et à base de réseau de neurones. Hydrological Sciences Journal, 50(4). https://doi.org/10.1623/hysj.2005.50.4.683
Kisi, O., Haktanir, T., Ardiclioglu, M., Ozturk, O., Yalcin, E., & Uludag, S. (2009). Adaptive neuro-fuzzy computing technique for suspended sediment estimation. Advances in Engineering Software, 40(6), 438-444. http://dx.doi.org/10.1016%2Fj.advengsoft.2008.06.004
Kisi, O., Karahan, M. E., & Şen, Z. (2006). River suspended sediment modelling using a fuzzy logic approach. Hydrological Processes, 20(20), 4351-4362. https://doi.org/10.1002/hyp.6166
Kvam, P. H., & Vidakovic, B. (2007). Nonparametric statistics with applications to science and engineering (Vol. 653). John Wiley & Sons.
Maes, J., Vliegen, J., Van de Vel, K., Janssen, S., Deutsch, F., De Ridder, K., & Mensink, C. (2009). Spatial surrogates for the disaggregation of CORINAIR emission inventories. Atmospheric Environment, 43(6), 1246-1254. http://dx.doi.org/10.1016/j.atmosenv.2008.11.040
Rodríguez-Blanco, M.L., Taboada-Castro, M.M., Palleiro, L., & Taboada-Castro, M.T. (2010). Temporal changes in suspended sediment transport in an Atlantic catchment, NW Spain. Geomorphology, 123(1), 181-188. http:// doi.org/10.1016/j.geomorph.2010.07.015
Rousseeuw, P.J. (1984). Least median of squares regression. Journal of the American statistical association, 79(388), 871-880. http://dx.doi.org/10.1080/01621459.1984.10477105
Sadeghi, S. H. R., Mizuyama, T., Miyata, S., Gomi, T., Kosugi, K., Fukushima, T., & Onda, Y. (2008). Development, evaluation and interpretation of sediment rating curves for a Japanese small mountainous reforested watershed. Geoderma, 144(1), 198-211. https://doi.org/10.1016/j.geoderma.2007.11.008
Salarijazi, M., Abdolhosseini, M., Ghorbani, K., & Eslamian, S. (2016). Evaluation of quasi-maximum likelihood and smearing estimator to improve sediment rating curve estimation. International Journal of Hydrology Science and Technology, 6(4), 359-370. https://doi.org/10.1504/IJHST.2016.079352
Schumacker, R. E., Monahan, M. P., & Mount, R. E. (2002). A comparison of OLS and robust regression using S-PLUS. Multiple Linear Regression Viewpoints, 28(2), 10-13. https://citeseerx.ist.psu.edu › viewdoc
Smoliński, A., Walczak, B., & Einax, J.W. (2003). Robust multivariate calibration in environmental studies. Analytical letters, 36(10), 2317-2336. http://dx.doi.org/10.1081/AL-120023722
Sokol, Z. (2003). The use of radar and gauge measurements to estimate areal precipitation for several Czech river basins. Studia Geophysica et Geodaetica, 47(3), 587-604. https://doi.org/10.1023/A:1024715702575
Yohai, V.J. (1987). High breakdown-point and high efficiency robust estimates for regression. The Annals of Statistics, 642-656. https://doi.org/10.1214/aos/1176350366
Zhang, S., Lu, X.X., Higgitt, D.L., Chen, C.T.A., Han, J., & Sun, H. (2008). Recent changes of water discharge and sediment load in the Zhujiang (Pearl River) Basin, China. Global and Planetary Change, 60(3), 365-380. http://dx.doi.org/10.1016/j.gloplacha.2007.04.003