Research Article

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

Table 10

Estimated SMSE values for different when .

Estimator

MLE1203.887326.347186.925131.03247.070942.456266.410154.391108.77539.413
1.2470.9700.8250.7380.5411.7591.6631.6121.5821.512
1.2510.9150.7280.6440.4901.1520.8490.6980.6110.467
1.6451.5141.4341.3691.1421.8841.8421.8131.7861.684
465.044162.790102.13574.65429.2251.1490.8470.6960.6090.465
1.1530.8650.7220.6400.4821.1490.8470.6960.6090.465
4.6581.6851.0560.7830.4841.1490.8470.6960.6090.465
226.525106.63675.61959.45726.6681.1490.8470.6960.6090.465
1.1530.8650.7220.6400.4821.1490.8470.6960.6090.465

MLE11945.5003229.5471849.4981296.132465.2989327.9072635.6541527.2771075.930389.720
1.2390.9610.8160.7290.5351.7581.6631.6121.5821.512
1.2440.9040.7140.5960.3331.1270.8060.6350.5290.284
1.8541.8011.7661.7341.6061.9601.9441.9341.9231.883
4607.4131604.938999.657728.579279.0711.1260.8050.6350.5290.283
1.1320.8290.6700.5710.3251.1260.8050.6350.5290.283
36.5078.7983.9021.9460.3571.1260.8050.6350.5290.283
2227.9651037.162731.880573.204252.4431.1260.8050.6350.5290.283
1.1320.8290.6700.5710.3251.1260.8050.6350.5290.283

MLE119374.60032260.09018476.06012947.6904647.61193171.49026327.38015256.46010747.7703892.826
1.2380.9610.8160.7290.5351.7571.6631.6121.5821.512
1.2430.9030.7130.5940.3091.1240.8020.6290.5210.262
1.9491.9301.9181.9051.8541.9871.9811.9781.9741.961
46079.01016015.7909967.3057252.6732774.6941.1230.8010.6280.5200.261
1.1300.8250.6650.5640.3071.1230.8010.6280.5200.261
354.07880.25932.89814.2240.6201.1230.8010.6280.5200.261
22260.38010340.7807294.2585710.3702509.6701.1230.8010.6280.5200.261
1.1300.8250.6650.5640.3071.1230.8010.6280.5200.261

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.