Research Article
The New Odd Log-Logistic Generalized Inverse Gaussian Regression Model
Table 2
AEs, biases, and MSEs for the OLLGIG regression model under scenarios 1 and 2.
| scenario 1 | | | | | | | Parameter | AE | Bias | MSE | AE | Bias | MSE | AE | Bias | MSE |
| | 1.5044 | 0.0044 | 0.0028 | 1.5011 | 0.0011 | 0.0008 | 1.5014 | 0.0014 | 0.0005 | | -0.6979 | 0.0021 | 0.0100 | -0.6981 | 0.0019 | 0.0027 | -0.6992 | 0.0008 | 0.0017 | | -1.9426 | 0.0574 | 0.1223 | -1.9606 | 0.0394 | 0.0401 | -1.9637 | 0.0363 | 0.0280 | | 0.3636 | 0.0136 | 0.0508 | 0.3522 | 0.0022 | 0.0162 | 0.3516 | 0.0016 | 0.0093 | | 0.5998 | 0.0998 | 0.0763 | 0.5448 | 0.0448 | 0.0228 | 0.5368 | 0.0368 | 0.0149 |
| scenario 2 | | | | | | | Parameter | AE | Bias | MSE | AE | Bias | MSE | AE | Bias | MSE |
| | 1.4975 | -0.0025 | 0.0005 | 1.4982 | -0.0018 | 0.0002 | 1.4986 | -0.0014 | 0.0001 | | -0.7017 | -0.0017 | 0.0018 | -0.7024 | -0.0024 | 0.0005 | -0.7025 | -0.0025 | 0.0003 | | -2.2627 | -0.2627 | 0.1839 | -2.1766 | -0.1766 | 0.0872 | -2.1548 | -0.1548 | 0.0659 | | 0.3502 | 0.0002 | 0.0717 | 0.3432 | -0.0068 | 0.0247 | 0.3454 | -0.0046 | 0.0148 | | 1.2052 | -0.2948 | 0.3226 | 1.2720 | -0.2280 | 0.1720 | 1.2932 | -0.2068 | 0.1389 |
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