Research Article

More on the Ridge Parameter Estimators for the Gamma Ridge Regression Model: Simulation and Applications

Table 9

EMSE, when and .

Estimators
n = 25n = 50n = 100n = 200n = 25n = 50n = 100n = 20025501002002550100200

MLE1.19 × 10650275115944539.1460923379689900.44075.219.7909.76434.45772.60115.45 × 10102.41 × 1072.15 × 106635466
k11108778097.92843.21309.3516106882.12497.91124.15.35043.05941.81181.36162.91 × 1082.70 × 106402580159854
k21.74926.431619.63750.1912.23117.317218.78739.8115.57366.48804.14042.56551.03352.654212.96249.377
k31.08771.70433.41407.61021.26402.24614.58919.09222.54762.71912.47872.02270.94561.00551.26822.2578
k42992.1485.79270.83170.001118.1280.60175.32113.591.16511.11251.02220.98891.63 × 1065429.01843.51349.8
k5730.07241.84373.82559.77186.1198.517155.02235.571.00321.03801.07821.1252262550562.34409.85604.54
k632428438381111284484.9165662307489550.94028.816.1679.07094.35932.58166.50 × 1081.33 × 1072.00 × 106625376
k723593732920106114410.2113074259379045.83947.013.3388.29494.22102.54763.82 × 1088.75 × 1061.72 × 106594280
k80.98650.96471.05382.06490.98200.96341.08102.23490.93910.96961.02801.14691.00310.99950.98860.9673
k924005830816102314352.1110582246788999.53912.613.1297.91354.17472.49153.12 × 1088.43 × 1061.66 × 106589843
k1047.65941.83150.73461.90836.44934.18539.95642.4261.34481.32781.23561.1729837.22199.07195.08228.12
k110.97281.06601.95336.11170.96861.08892.09806.11160.99791.11931.34981.49651.00130.99220.97160.9943
k120.97281.06601.95336.11170.96861.08892.09806.11160.99791.11931.34981.49651.00130.99220.97160.9943
k134.78669.744919.04232.9784.51458.665915.09923.0871.00981.07181.11961.15926.101511.45526.69958.845
k141.01071.66934.082910.4011.04831.89214.521110.1261.02411.13771.29341.38800.97130.97681.24422.9132
k158.065913.58723.40837.6507.573612.24119.13726.4221.17981.26771.29541.290519.30026.95446.91584.014
k161.00651.68544.225610.7741.03861.87994.605110.3691.02051.13651.29871.39220.97470.97281.21142.8181
k17990089269.54003.42330.0530209979.24546.32459.119.0789.23954.44842.59911.28 × 1071.55 × 106298878160409
k189660.83385.33596.72777.02893.21669.12077.71896.32.41962.54952.37821.96282.23 × 1069469.97038.215233
k1924005730816102314352.2110582246778999.43912.713.1957.96524.22922.54883.12 × 1088.43 × 1061.66 × 106589844
k2010.51711.53316.60123.2578.072510.00613.58317.7610.97070.99500.98580.981455.08929.93243.86170.989
k21241882241.2945.39505.10119921824.7780.74386.362.23141.61091.22881.08864.21 × 1074036337969535132
k2261.76251.35059.10069.13048.54942.14447.81347.9601.49401.42321.29321.21981322.2266.47242.12277.40
k231.00411.00411.00391.00371.00411.00401.00391.00360.95320.94970.93870.94151.00411.00411.00411.0041
k24733.16246.10371.26557.76184.95100.86155.66236.621.00401.03901.08221.1234269686571.39406.17604.75
k251.00391.00371.00321.00241.00391.00361.00291.00200.92880.94120.93970.94321.00411.00411.00411.0041
k2624005730816102314352.2110582246778999.43912.713.1957.96524.22922.54883.12 × 1088.43 × 1061.66 × 106589844
k270.96720.96710.96690.96660.96720.96710.96690.96660.89790.90490.90190.90510.96730.96730.96730.9673
k281.80405.342215.70538.3792.30666.830918.00134.0568.20364.88102.65951.75111.12031.95755.545020.636
k291.45252.56575.410111.7031.55492.76435.561110.4440.99431.04991.08771.12821.18061.76013.89019.9269
k302.40234.59199.578918.9642.57384.85869.305315.8311.13801.28551.37481.40152.51773.80068.945122.362
k312.38244.46289.394818.7602.51534.67008.915115.5181.10651.22391.28701.32302.25603.29047.394119.382
k321.03081.32612.22034.73641.05191.40732.43234.81720.94220.96260.97120.98820.97071.08071.54703.1596
k332.37356.157013.36724.2832.53506.076511.55218.5521.12581.24721.36251.37831.43913.930812.00731.962
k340.97121.15981.89923.95730.97411.21872.04574.24230.92950.94510.94380.94510.98800.97631.04551.6458
k351.32232.99017.306015.4411.38783.04986.586912.6370.95680.97590.98600.99070.98431.24142.73649.0538
k363.18595.393210.54420.1093.59656.281511.21017.7373.49033.74823.13342.29796.96936.490712.40425.173
k3718.86836.70944.42259.7546.734633.07126.72944.4981.99552.08292.00331.73496.213615.58931.95963.008
k385.40197.031411.81919.5054.49256.308310.11015.3781.02631.06001.10061.139214.2918.181613.51525.783
k39241882241.23945.39505.10119921824.7780.74386.362.23141.61091.22881.08864.21 × 1074036337969535131
k400.97121.08332.13146.82780.96501.12652.29306.72651.01001.14791.41791.57441.00030.98870.96601.0161