Table 2.

The Bayesian estimation results

	Prior distribution			Post distribution
	Shape	Mean	Std. dev	90% confidence interval		Mean
${\rho }_{s^c}$	beta	0.8	0.1	0.8056	0.646	0.9667
${\rho }_{s^I}$	beta	0.8	0.1	0.7874	0.6364	0.9528
${\rho }_{f^{\mathit{EN}}}$	beta	0.8	0.1	0.7014	0.4991	0.9037
${\rho }_G$	beta	0.8	0.1	0.6973	0.6956	0.699
${\rho }_{{\tau }^K}$	beta	0.8	0.1	0.7987	0.6547	0.9718
${\rho }_{{\tau }^N}$	beta	0.8	0.1	0.788	0.6406	0.9329