Table 1 Point estimates and 95\(\%\) confidence intervals (CI) for the three model parameters
Parameter | Model 1 | Model2 | ||
|---|---|---|---|---|
Estimate | CI 95% | Estimate | CI 95% | |
\(\alpha _1\) | 75.466 | (75.596, 76.135) | 75.131 | (74.990, 75.272) |
\(\alpha _2\) | 81.120 | (80.883, 81.357) | 81.375 | (80.927, 81.823) |
\(\beta _1\) | − 0.154 | (− 0.180, −0.128) | – | – |
\(\beta _2\) | − 0.129 | (− 0.167, −0.091) | – | – |
\(\log \omega ^2_1\) | 1.810 | (1.494, 2.126) | 3.036 | (2.955, 3.117) |
\(\log \omega ^2_2\) | 2.581 | (2.272, 2.890) | 3.160 | (3.033, 3.287) |
\(\log \omega _{12}\) | 1.671 | (1.257, 2.086) | 2.871 | (2.768, 2.974) |
\(\gamma\) | 39.221 | (28.242, 50.200) | 39.190 | (28.073, 50.306) |
\(\log \tau ^2\) | 6.226 | (3.611, 8.841) | 6.232 | (5.678, 6.586) |
\(\log \delta\) | 7.336 | (6.845, 7.827) | 7.349 | (6.318, 7.846) |
\(\log \nu ^2\) | 2.586 | (2.244, 2.927) | 2.589 | (2.064, 2.932) |
Log-likelihood | − 1429.491 | − 1465.432 | ||