APA (7th ed.) Citation

Pan, C., Ng, K. T. W., Fallah, B., & Richter, A. (2019). Evaluation of the bias and precision of regression techniques and machine learning approaches in total dissolved solids modeling of an urban aquifer. Environmental science and pollution research international, 26(2), 1821-1833. https://doi.org/10.1007/s11356-018-3751-y

Chicago Style (17th ed.) Citation

Pan, Conglian, Kelvin Tsun Wai Ng, Bahareh Fallah, and Amy Richter. "Evaluation of the Bias and Precision of Regression Techniques and Machine Learning Approaches in Total Dissolved Solids Modeling of an Urban Aquifer." Environmental Science and Pollution Research International 26, no. 2 (2019): 1821-1833. https://doi.org/10.1007/s11356-018-3751-y.

MLA (9th ed.) Citation

Pan, Conglian, et al. "Evaluation of the Bias and Precision of Regression Techniques and Machine Learning Approaches in Total Dissolved Solids Modeling of an Urban Aquifer." Environmental Science and Pollution Research International, vol. 26, no. 2, 2019, pp. 1821-1833, https://doi.org/10.1007/s11356-018-3751-y.