Research Article

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

Table 12

Comparison of GRR and ML estimators for the reaction rate data.

EstimatorsEMSE

MLE0.178490.00041−0.001090.003010.00870
k10.085340.00056−0.000880.003200.00218
k20.178490.00041−0.001090.003010.00870
k30.176950.00041−0.001090.003010.00855
k40.000490.00070−0.000670.003300.00072
k50.175970.00041−0.001090.003010.00846
k60.177100.00041−0.001090.003010.00856
k70.056160.00061−0.000810.003260.00120
k80.175970.00041−0.001090.003010.00846
k90.056160.00061−0.000810.003260.00120
k100.109060.00052−0.000930.003150.00336
k110.177100.00041−0.001090.003010.00856
k120.177100.00041−0.001090.003010.00856
k130.110160.00052−0.000930.003150.00342
k140.176250.00041−0.001090.003010.00848
k150.152200.00045−0.001030.003060.00634
k160.175320.00041−0.001090.003010.00839
k170.178490.00041−0.001090.003010.00870
k180.000500.00070−0.000670.003300.00072
k190.056160.00061−0.000810.003260.00120
k200.019320.00067−0.000720.003340.00067
k210.018530.00067−0.000720.003340.00067
k220.121940.00050−0.000960.003120.00413
k230.170940.00042−0.001080.003020.00798
k240.000130.00072−0.000650.003110.00083
k250.178310.00041−0.001090.003010.00868
k260.056160.00061−0.000810.003260.00120
k270.177790.00041−0.001090.003010.00863
k280.000130.00072−0.000650.003100.00083
k290.171420.00042−0.001080.003020.00802
k300.178260.00041−0.001090.003010.00868
k310.178380.00041−0.001090.003010.00869
k320.153370.00045−0.001040.003060.00644
k330.028420.00065−0.000740.003320.00073
k340.005650.00069−0.000690.003360.00068
k350.015800.00067−0.000710.003340.00066
k360.178480.00041−0.001090.003010.00870
k370.169460.00042−0.001070.003020.00784
k380.000010.00084−0.000450.001530.00620
k390.018530.00067−0.000720.003340.00067
k400.177880.00041−0.001090.003010.00864

Bold values indicate the smaller MSE.