Table 4 Kendell tua results between imputing gaps and actual data for steam flow dataset
From: GMA: Gap Imputing Algorithm for time series missing values
Gap points | G7 | G26 | G51 | G244 |
|---|---|---|---|---|
Linear | 0.86 | 0.58 |  − 0.4 |  − 0.5 |
Poly | 0.33 |  − 0.25 |  − 0.19 |  − 0.02 |
FSM |  − 0.7 | 0.51 | 0.26 |  − 0.34 |
GMA |  − 0.4 | 0.6 | 0.48 | 0.05 |