Research Article

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

Table 7

Estimated SMSE values for different when .

Estimator

MLE2300.301639.879369.034259.45893.6621987.509563.548326.892230.40783.557
1.5121.2571.1000.9940.7201.8501.7661.7131.6771.584
1.5371.2521.0600.9250.5891.4411.1530.9770.8600.566
1.8091.7361.6871.6451.4841.9441.9241.9081.8951.838
640.236259.627172.729130.38653.8931.4391.1520.9770.8590.565
1.4371.1550.9840.8740.5871.4391.1520.9770.8590.565
6.6493.1242.1851.6530.7331.4391.1520.9770.8590.565
220.533129.204102.88787.00645.3311.4391.1520.9770.8590.565
1.4371.1550.9840.8720.5871.4391.1520.9770.8590.565

MLE22798.2406332.4743651.4962566.870926.151196357.1005573.9403233.0312278.584826.081
1.5061.2501.0920.9860.7131.8491.7651.7121.6761.584
1.5321.2441.0500.9130.5271.4251.1300.9450.8190.471
1.9281.9021.8841.8671.7961.9931.9741.9681.9641.944
6415.6182567.3911699.2151278.986521.7311.4251.1300.9450.8180.470
1.4251.1340.9550.8340.5011.4251.1300.9450.8180.470
53.53120.36612.5278.2451.8841.4251.1300.9450.8180.470
2158.8731257.337998.371842.321434.5011.4251.1300.9450.8180.470
1.4251.1340.9550.8340.5011.4251.1300.9450.8180.470

MLE227775.30063256.02036477.08025641.8109251.13196357.10055676.49032295.15022760.948251.422
1.5051.2491.0910.9850.7121.8491.7651.7121.6761.584
1.5321.2441.0490.9120.5251.4251.1280.9420.8140.461
1.9761.9671.9611.9551.9301.9931.9911.9891.9881.981
63840.26025673.52016963.61012777.6105199.8491.4251.1270.9410.8130.460
1.4241.1320.9520.8300.4921.4251.1270.9410.8130.460
522.672192.977116.22274.42114.0281.4251.1270.9410.8130.460
21531.76012537.4909952.9618395.0634325.9361.4251.1270.9410.8130.460
1.4241.1320.9520.8300.4921.4251.1270.9410.8130.460

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.