TABLE V.

Prior and posterior distributions of θ₁ and θ₂

Case	${\theta }_1^{\mathit{\text{prior}}}$ (mean, std1)	${\theta }_2^{\mathit{\text{prior}}}$ (mean, std)	${\theta }_1^{\mathit{\text{post}}}$ (mean, std)	${\theta }_2^{\mathit{\text{post}}}$ (mean, std)
1a	(0.678,0.035)	(6.050,0.105)	(0.686,0.010)	(6.052,0.003)
1b	(0.668,0.023)	(5.912,0.147)	(0.671,0.007)	(5.908,0.007)
2a	(0.681,0.035)	(6.072,0.105)	(0.690,0.003)	(6.074,0.003)
2b	(0.672,0.024)	(6.013,0.080)	(0.676,0.005)	(6.013,0.002)
3a	(0.669,0.016)	(5.997,0.056)	(0.672,0.002)	(5.997,9 · 10−4)
3b	(0.660,0.010)	(6.003,0.040)	(0.661,8 · 10−4)	(6.003,5 · 10−4)
2c	(0.665,0.032)	(5.992,0.115)	(0.669,0.008)	(5.992,0.004)
Patient 1	(0.250,0.096)	(0.858,0.062)	(0.322,0.090)	(1.147,0.508)
Patient 2	(0.065,0.008)	(0.750,0.082)	(0.070,0.005)	(0.716,0.053)
Patient 3	(0.305,0.033)	(2.050,0.245)	(0.308,0.027)	(1.882,0.105)

¹std denotes the standard deviation.

_{${\theta }_1^{\mathit{\text{prior}}}$} and ${\theta }_2^{\mathit{\text{prior}}}$ denote priors of θ₁ and θ₂.

${\theta }_1^{\mathit{\text{post}}}$ and ${\theta }_2^{\mathit{\text{post}}}$ denote posteriors of θ₁ and θ₂.