| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6964720 | Environmental Modelling & Software | 2012 | 13 Pages |
Abstract
⺠Size and selection of calibration data lead to uncertainty in model performance. ⺠Selection methods are developed to choose data that are representative of all data. ⺠Selection methods improve model performance compared to random selection. ⺠Selection methods using multi-dimension information are recommended.
Related Topics
Physical Sciences and Engineering
Computer Science
Software
Authors
Siao Sun, Jean-Luc Bertrand-Krajewski,