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 AEBiasMSEAEBiasMSEAEBiasMSE

1.50440.00440.00281.50110.00110.00081.50140.00140.0005
-0.69790.00210.0100-0.69810.00190.0027-0.69920.00080.0017
-1.94260.05740.1223-1.96060.03940.0401-1.96370.03630.0280
0.36360.01360.05080.35220.00220.01620.35160.00160.0093
0.59980.09980.07630.54480.04480.02280.53680.03680.0149

scenario 2
ParameterAEBiasMSEAEBiasMSEAEBiasMSE

1.4975-0.00250.00051.4982-0.00180.00021.4986-0.00140.0001
-0.7017-0.00170.0018-0.7024-0.00240.0005-0.7025-0.00250.0003
-2.2627-0.26270.1839-2.1766-0.17660.0872-2.1548-0.15480.0659
0.35020.00020.07170.3432-0.00680.02470.3454-0.00460.0148
1.2052-0.29480.32261.2720-0.22800.17201.2932-0.20680.1389