Table 7.

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 weather 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 = [75,75]	[0.62328, 0.42558]	[0.7894, 0.6523]	[0.60224, 0.40174]	[0.7760, 0.6338]
n = [65,65]	[0.75683, 0.40748]	[0.8699, 0.6383]	[0.71177, 0.34207]	[0.8436, 0.5848]
n = [55,55]	[0.97432, 0.74085]	[0.9870, 0.8607]	[0.99410, 0.69127]	[0.9970, 0.8314]
n = [45,45]	[1.06645, 0.75320]	[1.0326, 0.8678]	[1.09136, 0.75461]	[1.0446, 0.8686]
n = [35,35]	[1.87634, 1.25629]	[1.3697, 1.1208]	[1.91719, 1.20707]	[1.3846, 1.0986]
n = [25,25]	[2.58939, 1.87458]	[2.5893, 1.8745]	[2.63618, 1.83685]	[1.6236, 1.3553]