Table 2.

Estimated posterior quantiles σ²[α] for total variance σ², given data (3.3) and Jeffreys prior π(β) = 1/σ². Also shown are standard errors (se) and coefficients of variation (cv), obtained using (2.19), as explained in text.

α	se	cv	σ2[α]	se	cv
.025	.0007	.028	1.01	.0016	.0015
.050	.0011	.022	1.05	.0014	.0013
.100	.0016	.016	1.10	.0013	.0012
.160	.0021	.013	1.15	.0013	.0012
.500	.0034	.007	1.32	.0016	.0013
.840	.0033	.021	1.52	.0031	.0020
.900	.0031	.031	1.59	.0043	.0027
.950	.0027	.055	1.69	.0072	.0043
.975	.0024	.098	1.78	.0126	.0071