Research Article

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

Table 4

Estimated SMSE values for different when .

Estimator

MLE245.03993.93758.66842.23415.927210.56281.25650.77636.53913.806
1.3621.0840.9270.8310.5951.7601.6311.5511.3351.368
1.4331.1090.9020.7630.4501.3210.9920.8020.6800.393
1.5291.2541.0740.9440.5291.5771.3801.2671.1990.928
70.11137.56927.38521.4379.5601.3150.9880.7990.6770.391
3.0141.9151.4131.0640.4551.3150.9880.7990.6770.391
3.9802.1871.5301.1550.4801.3150.9880.7990.6770.391
48.18331.26624.06219.4729.2421.3150.9880.7990.6770.391
1.3181.0060.8260.7100.4231.3150.9880.7990.6770.391

MLE2380.463911.567568.777409.234154.2182046.259789.199492.750354.411133.844
1.3571.0780.9210.8250.5911.7591.6301.5501.5001.369
1.4301.1040.8950.7550.3871.3110.9750.7790.6510.333
1.5371.2551.0720.9360.5161.5771.3821.2701.2050.933
668.982360.132260.603202.71088.5701.3060.9720.7770.6500.332
18.0509.4346.0714.0620.6201.3060.9720.7770.6500.332
26.75312.1237.4424.8430.8681.3060.9720.7770.6500.332
454.645293.149224.734181.16684.7981.3060.9720.7770.6500.332
1.3100.9920.8070.6860.3711.3060.9720.7770.6500.332

MLE23733.2709089.4155670.3564079.5351537.16920402.5207869.8674912.8253533.3151334.242
1.3571.0770.9210.8250.5911.7591.6301.5501.5001.369
1.4301.1030.8950.7540.3861.3100.9730.7770.6480.326
1.5381.2561.0730.9350.5141.5771.3831.2701.2060.935
6686.1933595.6162566.0892026.436880.3211.3050.9710.7750.6470.325
169.96283.37652.92135.0782.7841.3050.9710.7750.6470.325
254.364111.77766.95242.1615.2451.3050.9710.7750.6470.325
4518.9412913.4132231.1761797.415840.1631.3050.9710.7750.6470.325
1.3090.9900.8050.6840.3651.3050.9710.7750.6470.325

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.