Table 1.
The QAIC, RMSE and pseudo R-squared values for the selected models
Models | QAIC | RMSE | pseudo R-squared | |
---|---|---|---|---|
Intercept only | 13,869.39 | – | – | |
Simple Linear Models | ||||
w/ Rainfall | 6088.93 | 0.3292689 | 0.6785798 | |
w/ Average temperature | 5866.015 | 0.3222838 | 0.6954379 | |
w/ Dew point | 5456.907 | 0.3183454 | 0.7251268a | |
DLNM Models | ||||
w/ Rainfall | 4313.961 | 0.241543 | 0.8085139 | |
w/ Average temperature | 4291.979 | 0.251437 | 0.8112628 | |
w/ Dew point | 4002.741 | 0.2350322 | 0.8321903b |
QAIC Quasi-Akaike Information Criterion, RMSE Root Mean Squared Error
aBest predictor among simple linear models
bBest predictor among the DLNM models