Table 2 Convergence of models for regression parameters
Feature | Diagnostic | ||||
|---|---|---|---|---|---|
G-R | \(G_1\) | \(G_2\) | \(G_3\) | \(G_4\) | |
Intercept | 1.01 | 1.4 | −1.6 | −1.4 | 0.1 |
Monday | 1.01 | −2.2 | 1.1 | 0.9 | −1.8 |
Tuesday | 1.01 | −2.6 | 1.6 | 1.1 | −2.1 |
Wednesday | 1.00 | −2.2 | 2.2 | 1.2 | −1.1 |
Friday | 1.01 | −1.0 | 0.8 | 1.5 | −0.7 |
Saturday | 1.01 | −0.8 | 1.2 | 1.4 | −0.5 |
Sunday | 1.01 | −1.8 | 1.2 | 1.3 | −0.6 |
Temperature | 1.00 | 0.1 | 1.5 | 1.4 | −0.3 |
Relative humidity | 1.00 | −0.6 | 0.9 | −0.5 | 0.9 |
Wind velocity | 1.00 | −0.4 | −0.3 | 1.7 | −0.6 |
SSRD | 1.00 | −0.2 | −0.1 | −0.1 | −0.5 |
Precipitation | 1.00 | 0.0 | −0.4 | −0.4 | −1.4 |
\(\rho _S\) | 1.00 | 0.5 | −0.4 | 0.6 | −0.3 |
\(\rho _T\) | 1.00 | 1.4 | 0.2 | 0.2 | −0.4 |
\(\tau ^2\) | 1.00 | −1.1 | −0.3 | −0.7 | −0.1 |
\(\tau _{\omega }^2\) | 1.00 | 0.9 | −0.2 | 0.8 | −0.4 |