Table 3.

Mean Square Errors and Bias for the ${\bar{\mathit{y}}}_{\mathit{r}\mathit{N}}$ and ${\bar{\mathit{y}}}_{\mathit{r}\mathit{e}\mathit{g}\mathit{N}}$ using Sine data set.

Sample size	${\bar{\mathit{y}}}_{\mathit{r}\mathit{N}}$		${\bar{\mathit{y}}}_{\mathit{r}\mathit{e}\mathit{g}\mathit{N}}$
	MSE	BIAS	MSE	BIAS
n = [100,100]	[0.01368, 0.01394]	[0.1169, 0.1180]	[0.01082, 0.01103]	[0.1040, 0.1050]
n = [150,150]	[0.00844, 0.00895]	[0.0918, 0.0946]	[0.00667, 0.00704]	[0.0816, 0.0839]
n = [200,200]	[0.00597, 0.00620]	[0.0772, 0.0787]	[0.00472, 0.00481]	[0.0687, 0.0693]
n = [250,250]	[0.00443, 0.00460]	[0.0665, 0.0678]	[0.00352, 0.00366]	[0.0593, 0.0604]
n = [300,300]	[0.00353, 0.00371]	[0.0594, 0.0609]	[0.00277, 0.00294]	[0.0526, 0.0542]