From: A new extended normal regression model: simulations and applications
Models | ||||
---|---|---|---|---|
Measures | EN | SN | N | BN |
First application | ||||
\(\hat {\theta }_{i}\) | (0.2490, 3.2023, 1.7709, 0.9768) | (4.746, 1.109, 0.016) | (4.7619, 1.1094) | (991.2293, 54.4065, -23.4249, 17.3049) |
\(\text {Sd}(\hat {\theta }_{i})\) | (<0.0001, 0.0005, <0.0001, <0.0001) | (1.029, 0.039, 0.004) | (0.2420, 0.1711) | (1.1628, 1.3819, 0.4080, 0.1533) |
W ∗ | 0 . 0 6 3 0 | 1.5672 | 0.0800 | 0.4296 |
A ∗ | 0 . 3 9 1 8 | 7.5418 | 0.4758 | 2.3953 |
KS | 0 . 1 4 8 4 | 1.0000 | 0.1452 | 1.0000 |
Second application | ||||
\(\hat {\theta }_{i}\) | (0.4804, 100.0000, -141.4568, 75.5640) | (0.0009, 166.0232, 32.7894) | (166.0746, 46.3746) | (1001.6514, 4.5535, -565.4361, 276.6320) |
\(\text {Sd}(\hat {\theta }_{i})\) | (0.0126, 0.0005, 0.0002, 0.0001) | (0.1082, 0.0001, <0.001) | (5.6655, 4.0061) | (149.8685, 0.6375, 0.2980, 0.1719) |
W ∗ | 0 . 0 2 5 9 | 0.1037 | 0.1185 | 0.3018 |
A ∗ | 0 . 2 4 2 8 | 0.8134 | 0.8942 | 1.8874 |
KS | 0 . 0 5 3 2 | 0.8519 | 0.0835 | 1.000 |