Table 2.

Mean Squared Error (MSE), Bias, Variance of the Posterior Means, and the Bias Proportion of MSE ( ${\text{Bias}}^2/\text{MSE})$ for Each of the Six Methods with the Faux Madrona Network

Method	MSE	Bias	Variance	Bias proportion of MSE
CR-SS-PSE	$2.6\times {10}^6$	52	$2.5\times {10}^4$	0.095
SS-PSE	$1.3\times {10}^8$	−360	$7.2\times {10}^4$	0.642
Independent SS-PSE	$1.2\times {10}^8$	−347	$7.8\times {10}^4$	0.608
Combined SS-PSE	$3.6\times {10}^8$	599	$3.8\times {10}^5$	0.487
Hypergeometric CR	$7.2\times {10}^6$	−85	$2.0\times {10}^4$	0.266
NPLCM	$3.3\times {10}^7$	−182	$1.8\times {10}^4$	0.646