Table 5.
Error-function values of analyzed artificial data sets
| Fitted model type |
|||
|---|---|---|---|
| Model 1 | Model 2 | Model 3 | |
| M10.00 | 0.00000 | 1.92217 | 2.07131 |
| M10.01 | 0.78581 | 2.09649 | 2.24620 |
| M10.03 | 2.11161 | 3.03402 | 3.16262 |
| M20.00 | 1.50488 | 0.00885 | 0.06056 |
| M20.01 | 1.70500 | 0.78243 | 0.78933 |
| M20.03 | 2.87615 | 2.23449 | 2.35603 |
| M30.00 | 2.17175 | 0.03437 | 0.00092 |
| M30.01 | 2.26306 | 0.77783 | 0.77610 |
| M30.03 | 2.97956 | 2.48055 | 2.45850 |
Artificial data sets with different noise levels (σ1 = 0.00, σ2 = 0.01, and σ3 = 0.03) were fitted by three model functions. Least error-function values are printed in bold.