Table 1.
Parameter | True value |
Results for model |
Results for model |
Results for model |
|||
---|---|---|---|---|---|---|---|
Bias | ACP | Bias | ACP | Bias | ACP | ||
β12.0 | −6.40 | −0.040 | 0.95 | −0.485 | 0.72 | −0.422 | 0.78 |
β13.0 | −5.40 | 0.034 | 0.92 | 0.075 | 0.86 | 0.102 | 0.83 |
β23.0 | −4.50 | 0.065 | 0.93 | 0.036 | 0.95 | 0.080 | 0.93 |
β12.A | 0.10 | 0.005 | 0.92 | −0.065 | 0.61 | −0.067 | 0.58 |
β13.A | 0.06 | −0.012 | 0.90 | 0.001 | 0.95 | 0.001 | 0.95 |
β23.A | 0.05 | −0.005 | 0.93 | −0.003 | 0.93 | 0.004 | 0.97 |
γ1.0 | 2.00 | 0.105 | 0.92 | ||||
γ2.0 | 0.50 | 0.211 | 0.91 | ||||
γ1.A | −0.10 | 0.002 | 0.94 | ||||
γ2.A | −0.20 | −0.010 | 0.94 |
Bias is the mean of the bias of the parameters estimates.