Research Article

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

Table 6

Estimated SMSE values for different when .

Estimator

MLE227.52987.14454.41639.17114.768193.51274.67646.66633.58312.689
1.3301.0500.8960.8020.5771.7461.6131.5331.4831.355
1.4001.0680.8620.7250.4161.2850.9540.7660.6480.376
1.5031.2281.0520.9240.5211.5481.3431.2261.1570.882
67.85236.24525.99020.3278.9771.2790.9490.7630.6450.374
2.8991.7721.3050.9760.4301.2790.9490.7630.6450.374
3.8112.0331.4131.0520.4481.2790.9490.7630.6450.374
47.51830.25023.03318.5428.6921.2790.9490.7630.6450.374
1.2840.9700.7930.6800.4071.2790.9490.7630.6450.374

MLE2210.274845.575527.502379.519142.9791880.557725.279452.854325.727123.011
1.3261.0440.8900.7970.5731.7451.6121.5331.4831.356
1.3971.0630.8550.7170.3631.2750.9350.7420.6170.312
1.5121.2281.0520.9160.5051.5481.3451.2301.1640.887
648.258337.046243.617191.39383.5911.2700.9330.7400.6160.311
17.3348.4515.2023.4700.5351.2700.9330.7400.6160.311
25.44911.0226.5904.1680.7121.2700.9330.7400.6160.311
448.155283.402215.143172.41479.6211.2700.9330.7400.6160.311
1.2760.9550.7730.6550.3511.2700.9330.7400.6160.311

MLE22036.4008431.3375258.8273783.2761425.13618750.3307232.4414515.0453247.3481226.248
1.3251.0440.8900.7960.5731.7451.6121.5331.4831.356
1.3961.0620.8540.7160.3611.2740.9340.7390.6130.305
1.5141.2301.0520.9150.5031.5481.3461.2301.1650.889
6435.7783365.4522444.7481882.106822.1701.2690.9310.7370.6120.304
161.52674.43544.84429.4302.1321.2690.9310.7370.6120.304
241.493101.29658.74535.7863.8801.2690.9310.7370.6120.304
4456.3902815.8422135.8481710.447788.7191.2690.9310.7370.6120.304
1.2750.9540.7710.6520.3441.2690.9310.7370.6120.304

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.