APA (7th ed.) Citation

Wang, H., Chu, X., Chen, P., Li, J., Liu, D., & Xu, Y. (2023). Moving window correlation coefficient differences partial least squares (MWCC-DPLS) quantitative calibration method based on spectral differences between calibration samples: Application to the fast determination of gasoline octane number with near-infrared spectroscopy. Fuel processing technology, 240, 107583. https://doi.org/10.1016/j.fuproc.2022.107583

Chicago Style (17th ed.) Citation

Wang, Hai-Peng, Xiao-Li Chu, Pu Chen, Jing-Yan Li, Dan Liu, and Yu-Peng Xu. "Moving Window Correlation Coefficient Differences Partial Least Squares (MWCC-DPLS) Quantitative Calibration Method Based on Spectral Differences Between Calibration Samples: Application to the Fast Determination of Gasoline Octane Number with Near-infrared Spectroscopy." Fuel Processing Technology 240 (2023): 107583. https://doi.org/10.1016/j.fuproc.2022.107583.

MLA (9th ed.) Citation

Wang, Hai-Peng, et al. "Moving Window Correlation Coefficient Differences Partial Least Squares (MWCC-DPLS) Quantitative Calibration Method Based on Spectral Differences Between Calibration Samples: Application to the Fast Determination of Gasoline Octane Number with Near-infrared Spectroscopy." Fuel Processing Technology, vol. 240, 2023, p. 107583, https://doi.org/10.1016/j.fuproc.2022.107583.