Research Article
The New Odd Log-Logistic Generalized Inverse Gaussian Regression Model
Table 1
AEs, biases, and MSEs for the parameters of the OLLGIG distribution.
| | | scenario 1 | | | | | scenario 2 | | | | | | | | | | | Parameter | AE | Bias | MSE | | Parameter | AE | Bias | MSE |
| | 5.9023 | 0.1109 | 0.0895 | | | 5.8618 | 0.0704 | 0.0231 | | 0.7468 | 0.6810 | 2.6764 | | | 0.2119 | 0.1461 | 0.5443 | | 13.4759 | 0.7544 | 66.2484 | | | 12.6530 | -0.0685 | 7.2487 | | 1.0945 | 0.7283 | 2.2952 | | | 0.7115 | 0.3452 | 0.4276 |
| | | scenario 3 | | | | | scenario 4 | | | | | | | | | | | Parameter | AE | Bias | MSE | | Parameter | AE | Bias | MSE |
| | 5.8354 | 0.0439 | 0.0039 | | | 5.8195 | 0.0281 | 0.0014 | | 0.0822 | 0.0165 | 0.0004 | | | 0.0757 | 0.0099 | 0.0001 | | 12.7241 | 0.0026 | 0.0097 | | | 12.7131 | -0.0085 | 0.0080 | | 0.4822 | 0.1160 | 0.0242 | | | 0.4363 | 0.0700 | 0.0075 |
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