| Title: | Using maximum likelihood to derive various distance-based goodness-of-fit indicators for hydrologic modeling assessment |
| Authors: | Cheng, Q.-B., X. Chen, C.-Y. Xu, Z.-C. Zhang, C. Reinhardt-Imjela and A. Schulte |
| Year: | 2018 |
| Journal: | Stochastic Environmental Research and Risk Assessment |
| Volume (Issue): | 32 |
| Pages: | 949-966 |
| Article ID: | |
| DOI: | 10.1007/s00477-017-1507-8 |
| URL (non-DOI journals): | |
| Model: | SWAT-WB-VSA |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | calibration, sensitivity, and/or uncertainty analysis |
| Secondary Application Category: | hydrologic assessment |
| Watershed Description: | 86.7 km^2 Baocun river, located near the coast in eastern Jiaodong Peninsula in northeast China |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | Box–Cox transformation; Generalized error distribution; Likelihood function; Goodness of fit; SWAT |