A Comparison of Two Scaling Techniques to Reduce Uncertainty in Predictive Models
This research examines the use of two scaling techniques to accurately transfer information from small-scale data to large-scale predictions in a handful of nonlinear functions. The two techniques are (1) using random draws from distributions that represent smaller time scales and (2) using a single...
| Main Author: | |
|---|---|
| Format: | Others |
| Published: |
North Dakota State University
2021
|
| Online Access: | https://hdl.handle.net/10365/31786 |