Research Article

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

Table 5

Estimated SMSE values for different when .

Estimator

MLE372.624143.37489.59764.50624.352335.750129.55980.94758.24022.006
1.5241.2681.1060.9990.7091.8301.7211.6461.5931.440
1.5961.3231.1270.9840.5561.5001.2051.0120.8790.513
1.6571.4081.2251.0710.6111.7121.5621.4681.4101.171
81.48248.07736.35829.35413.8411.4951.2021.0100.8770.512
3.4762.8012.1381.7380.6551.4951.2021.0100.8770.512
4.7933.0922.3321.8600.7831.4951.2021.0100.8770.512
49.91936.11829.62724.85012.8381.4951.2021.0100.8770.512
1.4941.2071.0230.8950.5391.4951.2021.0100.8770.512

MLE3620.4751391.7961056.591625.309235.9113262.9051258.426785.586564.931213.346
1.5201.2631.1840.9930.7041.8291.7201.6451.5931.441
1.5941.3191.2220.9780.5461.4931.1940.9970.8590.473
1.6611.4061.2911.0610.5891.7121.5631.4711.4151.177
787.324458.141384.280276.544128.6601.4891.1910.9950.8580.472
21.56015.51414.2798.5571.5081.4891.1910.9950.8580.472
33.21518.96216.5459.8742.6621.4891.1910.9950.8580.472
468.722339.052297.506231.827118.5881.4891.1910.9950.8580.472
1.4881.1971.1040.8780.5021.4891.1910.9950.8580.472

MLE36096.87013878.2608663.5556233.7282351.55632533.57012549.0907832.5275632.1372126.778
1.5201.2621.1000.9930.7041.8291.7201.6451.5931.441
1.5941.3191.1210.9780.5451.4931.1920.9950.8570.469
1.6621.4051.2181.0600.5861.7121.5641.4711.4161.177
7842.8814570.9043415.3392780.1951273.3191.4891.1900.9930.8560.468
200.651143.093106.29577.31110.4141.4891.1900.9930.8560.468
317.588177.880124.06890.14421.7951.4891.1900.9930.8560.468
4658.6713368.2182747.3162301.4561175.9371.4891.1900.9930.8560.468
1.4871.1961.0080.8760.4981.4891.1900.9930.8560.468

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.