Research Article

On a Mixed Poisson Liu Regression Estimator for Overdispersed and Multicollinear Count Data

Table 9

Estimated SMSE values for different when .

Estimator

MLE1913.478529.367304.832214.17977.2311615.252457.738265.474187.10367.842
1.4431.1781.0210.9190.6661.8271.7391.6851.6501.564
1.4651.1600.9640.8320.5831.3651.0670.8940.7820.524
1.7721.6851.6281.5801.3991.9311.9071.8881.8721.804
590.911229.175150.091112.17345.4971.3631.0660.8930.7810.523
1.3621.0710.9040.7980.5451.3631.0660.8930.7810.523
6.1872.6811.8031.3350.6131.3631.0660.8930.7810.523
226.352124.98096.15379.47539.3801.3631.0660.8930.7810.523
1.3621.0710.9040.7980.5451.3631.0660.8930.7810.523

MLE18970.2005238.9063016.2752118.897763.64115980.0204527.6882625.7431850.438670.750
1.4371.1701.0130.9100.6591.8261.7381.6851.6501.564
1.4601.1520.9540.8190.4581.3491.0400.8550.7320.410
1.9121.8811.8591.8381.7541.9761.9681.9611.9551.931
5905.5432269.3171474.8081099.555439.0651.3481.0390.8550.7310.409
1.3481.0470.8700.7540.4441.3481.0390.8550.7310.409
49.71716.7419.5245.8321.0991.3481.0390.8550.7310.409
2218.3971216.301932.605768.820376.4371.3481.0390.8550.7310.409
1.3481.0470.8700.7540.4441.3481.0390.8550.7310.409

MLE189540.80052332.18030131.60021166.8007627.807159604.50045226.06026229.02018484.2806699.903
1.4361.1691.0120.9100.6581.8261.7381.6841.6501.564
1.4591.1510.9530.8180.4551.3471.0370.8520.7270.397
1.9701.9601.9521.9451.9141.9921.9891.9871.9851.977
59285.76022644.31014721.38010972.3104374.4271.3461.0360.8510.7260.396
1.3461.0440.8670.7490.4321.3461.0360.8510.7260.396
485.473157.63587.07551.1466.8111.3461.0360.8510.7260.396
22132.52012130.2509296.8247661.9093746.6861.3461.0360.8510.7260.396
1.3461.0440.8670.7490.4321.3461.0360.8510.7260.396

Note. indicates the ridge estimator based on the ridge parameter estimator a, indicates the Liu estimator based on the Liu parameter estimator b, and bold values indicate the minimum SMSEs.