Research Article

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

Table 3

Estimated SMSE values for different when .

Estimator

MLE452.489174.282108.92678.42129.614414.628159.98899.95271.90827.170
1.5891.3491.1891.0800.7681.8561.7581.6861.6351.475
1.6581.4121.2271.0870.6411.5711.2981.1100.9750.583
1.7091.4771.2981.1450.6671.7591.6301.5451.4931.271
86.42053.34041.20233.48516.2181.5671.2951.1080.9740.582
3.6463.1372.4942.0830.7951.5671.2951.1080.9740.582
5.0603.4872.7492.2501.0101.5671.2951.1080.9740.582
49.37337.72531.88227.27414.7771.5671.2951.1080.9740.582
1.5641.2971.1160.9860.6051.5671.2951.1080.9740.582

MLE4396.6741692.0371056.591760.296286.9324029.4861554.024970.048697.530263.417
1.5861.3441.1841.0740.7631.8551.7571.6861.6341.475
1.6561.4081.2221.0820.6321.5651.2881.0970.9590.548
1.7111.4741.2911.1320.6461.7601.6311.5481.4971.277
823.212507.768384.280314.227151.0771.5611.2861.0950.9580.548
22.18217.97514.27911.1142.2371.5611.2861.0950.9580.548
35.17122.12216.54512.8104.1971.5611.2861.0950.9580.548
463.151353.349297.506254.383136.7791.5611.2861.0950.9580.548
1.5591.2891.1040.9720.5741.5611.2861.0950.9580.548

MLE43836.06016872.26010534.0207579.5032860.17240177.07015496.8609671.6876954.1222625.934
1.5851.3441.1831.0740.7621.8551.7571.6861.6341.475
1.6561.4081.2221.0810.6311.5651.2871.0950.9570.546
1.7111.4741.2901.1310.6441.7601.6311.5481.4981.277
8201.7124973.1093898.4173163.6351503.1311.5611.2851.0940.9560.545
208.113165.643132.270101.67217.0011.5611.2851.0940.9560.545
336.983208.402154.438118.58936.3591.5611.2851.0940.9560.545
4596.6163511.2052954.5072525.4751356.6451.5611.2851.0940.9560.545
1.5591.2881.1030.9700.5711.5611.2851.0940.9560.545

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.