Li, Z., et al. “Development of PCA-Based Cluster Quantile Regression (PCA-CQR) Framework for Streamflow Prediction: Application to the Xiangxi River Watershed, China”. Applied Soft Computing, vol. 51, 2017, pp. 280-93, https://doi.org/10.1016/j.asoc.2016.11.039.

Genre

  • Journal Article
Contributors
Author: Li, Z.
Author: Jin, L.
Author: Huang, G.H.
Author: Li, Y.P.
Author: Wang, X.Q.
Author: Fan, Y.R.
Date Issued
2017

Language

  • English
Page range
280-293
Host Title
Applied Soft Computing
Host Abbreviated Title
Applied Soft Computing
Volume
51
Part Date
2017-02
ISSN
15684946
DOI
https://doi.org/10.1016/j.asoc.2016.11.039

Department