Table 5.

Results from simulation scenarios 9 and 10. For Bayesian inference, scenario 9, r_λ,3 was fixed to its true value (r_λ,3 = 1.0). Correspondingly, for scenario 10 r_λ,1 was fixed to its true value (r_λ,1 = 1.0). For both scenarios, all simulation replicates yielded ESS > 200 for all estimated parameters.

Scenario	Parameter	Truth	Median	Relative error	Relative bias	Relative HPD width	95% HPD accuracy
9	Rbase	3.0	3.065	0.078	0.022	0.388	95
	rλ,1	0.8	0.802	0.108	0.002	0.515	94
	rλ,2	0.9	0.903	0.115	0.003	0.532	96
	rλ,3	1.0	1.0 (fixed)	–	–	–	–
	rλ,4	1.1	1.084	0.110	−0.015	0.551	91
	rλ,5	1.2	1.217	0.115	0.014	0.587	96
	rλ,6	1.4	1.399	0.108	−0.001	0.600	95
	rλ,7	1.5	1.513	0.109	0.008	0.613	98
	rλ,8	1.6	1.605	0.117	0.003	0.619	96
	rλ,9	1.7	1.669	0.109	−0.018	0.613	95
	rλ,10	1.8	1.785	0.126	−0.008	0.627	97
	s1	0.01	0.01	0.076	−0.009	1.134	100
	s2	0.01	0.01	0.074	−0.022	1.136	100
	s3	0.01	0.01	0.074	−0.030	1.137	100
	s4	0.01	0.01	0.067	−0.031	1.143	100
	s5	0.01	0.01	0.074	−0.035	1.144	100
	s6	0.01	0.01	0.058	−0.024	1.160	100
	s7	0.01	0.01	0.067	−0.019	1.166	100
	s8	0.01	0.01	0.053	−0.025	1.165	100
	s9	0.01	0.01	0.056	−0.026	1.165	100
	s10	0.01	0.01	0.053	−0.027	1.166	100
10	Rbase	3.0	2.924	0.038	−0.025	0.184	94
	rλ,1	1.0	1.0 (fixed)	–	–	–	–
	rλ,2	1.6	1.636	0.055	0.022	0.302	96
	s1	0.01	0.010	0.131	0.019	1.010	100
	s2	0.01	0.010	0.107	−0.003	1.073	100