Research Article

Two-Parameter Modified Ridge-Type M-Estimator for Linear Regression Model

Table 2

Estimated MSEs of OLS, MRE, MRE, MRT, and RTMME at n = 20 and p = 3 when there is one outlier.

kSigmaRhod = 0.2d = 0.5d = 0.8

0.310.714.0156.60312.8426.06612.6285.96814.0156.60312.8426.06612.3195.82714.0156.60312.8426.06612.0235.691
0.821.0729.88818.3528.63317.8798.41421.0729.88818.3528.63317.2078.10421.0729.88818.3528.63316.5767.813
0.9608.8181.152592.0461.140410.6940.853608.8181.152592.0461.140376.5930.800608.8181.152592.0461.140346.6580.753
0.998184.09914.1325874.69512.202574.3201.6018184.09914.1325874.69512.202411.0881.2398184.09914.1325874.69512.202308.9361.004
50.71.1250.9241.1200.9201.1190.9191.1250.9241.1200.9201.1180.9181.1250.9241.1200.9201.1160.917
0.81.6391.2921.6281.2841.6261.2821.6391.2921.6281.2841.6231.2791.6391.2921.6281.2841.6201.277
0.9122.5611.152122.4251.152120.4761.136122.5611.152122.4251.152119.9641.133122.5611.152122.4251.152119.4541.129
0.991646.04914.1291622.59214.0431331.11711.7841646.04914.1291622.59214.0431266.59911.2961646.04914.1291622.59214.0431206.68810.841
100.70.2030.1270.2030.1270.2030.1270.2030.1270.2030.1270.2030.1270.2030.1270.2030.1270.2030.127
0.80.3060.1900.3060.1900.3060.1900.3060.1900.3060.1900.3050.1900.3060.1900.3060.1900.3050.190
0.961.7681.15261.7511.15261.5061.14861.7681.15261.7511.15261.4411.14761.7681.15261.7511.15261.3761.146
0.99828.72414.128825.75514.106784.25513.474828.72414.128825.75514.106773.70113.318828.72414.128825.75514.106763.36113.165

0.710.714.0156.60311.5265.46411.1205.27914.0156.60311.5265.46410.5585.02214.0156.60311.5265.46410.0444.787
0.821.0729.88815.5497.33914.7356.96321.0729.88815.5497.33913.6446.45921.0729.88815.5497.33912.6846.016
0.9608.8181.152592.0461.140269.4080.631608.8181.152592.0461.140230.0190.568608.8181.152592.0461.140198.8520.517
0.998184.09914.1325874.69512.202148.7370.6168184.09914.1325874.69512.202101.1430.4968184.09914.1325874.69512.20273.3640.425
50.71.1250.9241.1140.9141.1120.9121.1250.9241.1140.9141.1080.9101.1250.9241.1140.9141.1050.907
0.81.6391.2921.6141.2721.6101.2681.6391.2921.6141.2721.6031.2621.6391.2921.6141.2721.5961.256
0.9122.5611.152122.4251.152117.7811.116122.5611.152122.4251.152116.6311.108122.5611.152122.4251.152115.4981.099
0.991646.04914.1291622.59214.0431035.1019.5231646.04914.1291622.59214.043935.9958.7501646.04914.1291622.59214.043850.5508.075
100.70.2030.1270.2030.1270.2030.1270.2030.1270.2030.1270.2030.1270.2030.1270.2030.1270.2020.127
0.80.3060.1900.3050.1900.3050.1900.3060.1900.3050.1900.3040.1890.3060.1900.3050.1900.3040.189
0.961.7681.15261.7511.15261.1601.14361.7681.15261.7511.15261.0091.14161.7681.15261.7511.15260.8591.138
0.99828.72414.128825.75514.106730.36012.676828.72414.128825.75514.106708.52512.351828.72414.128825.75514.106687.66312.040

0.910.714.0156.60310.9545.20310.4814.98714.0156.60310.9545.2039.8374.69214.0156.60310.9545.2039.2604.429
0.821.0729.88814.4086.81213.4996.39221.0729.88814.4086.81212.3075.84221.0729.88814.4086.81211.2855.370
0.9608.8181.152592.0461.140225.1220.560608.8181.152592.0461.140187.4510.499608.8181.152592.0461.140158.6950.452
0.998184.09914.1325874.69512.20296.2780.4848184.09914.1325874.69512.20264.8980.4038184.09914.1325874.69512.20246.8360.358
50.71.1250.9241.1110.9121.1080.9091.1250.9241.1110.9121.1040.9051.1250.9241.1110.9121.1000.902
0.81.6391.2921.6081.2661.6021.2611.6391.2921.6081.2661.5931.2541.6391.2921.6081.2661.5841.246
0.9122.5611.152122.4251.152116.4681.106122.5611.152122.4251.152115.0181.095122.5611.152122.4251.152113.5961.085
0.991646.04914.1291622.59214.043923.0158.6481646.04914.1291622.59214.043817.4977.8121646.04914.1291622.59214.043729.1907.100
100.70.2030.1270.2030.1270.2030.1270.2030.1270.2030.1270.2020.1270.2030.1270.2030.1270.2020.126
0.80.3060.1900.3050.1900.3040.1890.3060.1900.3050.1900.3040.1890.3060.1900.3050.1900.3030.189
0.961.7681.15261.7511.15260.9881.14061.7681.15261.7511.15260.7951.13761.7681.15261.7511.15260.6031.134
0.99828.72414.128825.75514.106705.48712.306828.72414.128825.75514.106679.00511.910828.72414.128825.75514.106653.99811.535