Comparison of Some Estimators under the Pitman’s Closeness Criterion in Linear Regression Model

Table 1

The values of 𝐷 for different values of 𝑘 and 𝑤.

	PC1	PC2	PC1	PC2	PC1	PC2
	𝛾=0.9		𝛾=0.99		𝛾=0.999
𝑘=0.1	0.4120	0.5473	0.4278	0.6334	0.4351	0.8365
𝑘=0.2	0.4195	0.5679	0.4827	0.7390	0.4969	0.9368
𝑘=0.3	0.4251	0.6110	0.5304	0.8263	0.6709	0.9612
𝑘=0.4	0.4213	0.6553	0.5661	0.8915	0.7844	0.9767
𝑘=0.5	0.4314	0.6905	0.6024	0.9356	0.8524	0.9842
𝑘=0.6	0.4319	0.7163	0.6293	0.9655	0.8981	0.9878
𝑘=0.7	0.4341	0.7562	0.6615	0.9766	0.9239	0.9902
𝑘=0.8	0.5102	0.7749	0.6893	0.9873	0.9459	0.9914
𝑘=0.9	0.5301	0.8091	0.7099	0.9930	0.9502	0.9941
𝑘=1	0.5424	0.8309	0.7186	0.9969	0.9597	0.9948