A New Ridge-Type Estimator for the Gamma Regression Model

Table 4

Application result using the proposed and existing estimators.

Coef.	MLE	GRE-k	GLE-d	GKL ()	GKL ()
tpecretnI	−0.1568	−0.1597	−0.1568	−0.1624	−0.1573
MW	0.0158	0.0155	0.0158	0.0155	0.0148
IC3	0.8251	0.8254	0.8251	0.8255	0.8260
SpMaxA_D	−0.4681	−0.4418	−0.4681	−0.4407	−0.3816
ATS8v	−2.3347	−2.3161	−2.3347	−2.3165	−2.2691
MATS7v	−1.1565	−1.1382	−1.1565	−1.1392	−1.0903
MATS2s	−2.2127	−2.1479	−2.2127	−2.1452	−1.9987
GATS4p	−2.7097	−2.6510	−2.7097	−2.6511	−2.5068
SpMax8_Bh(p)	2.8041	2.7426	2.8041	2.7425	2.5930
SpMax3_Bh(s)	0.4082	0.3994	0.4082	0.3991	0.3790
P_VSA_e_3	0.0016	0.0017	0.0016	0.0017	0.0020
TDB08m	−1.3127	−1.1859	−1.3127	−1.1811	−0.8954
RDF100m	−0.0004	−0.0004	−0.0004	−0.0005	−0.0006
Mor21v	−0.8682	−0.8448	−0.8682	−0.8446	−0.7882
Mor21e	−0.0504	−0.0593	−0.0504	−0.0597	−0.0795
HATS6v	−0.5290	−0.4030	−0.5290	−0.3803	−0.1723
d/k		0.0077	0.9999	0.0824	0.2871
MSE	5.5599	3.5062	5.5599	3.2351	1.6397