1.000 1.062 6.2% 1.060 6.0% β 1.000 0.844 15.6% 0.843 15.7% γ1 1.000 1.021 2.1% 1.025 2.5% γ2 1.000 1.114 11.4% 1.119 11.9% γ3 0.500 0.512 2.4% 0.498 0.5% ς1 0.250 0.263 5.1% 0.265 6.1% ς2 0.500 0.482 3.6% 0.484 3.2% ς3 1.000 0.945 5.5% 1.139 13.9% φ1 0.500 0.489 2.2% 0.473 5.5% φ2 φ3 0.750 0.713 4.9% 0.701 6.5% 0.600 0.552 8.1% 0.551 8.1% 1.000 1.011 1.1% 1.010 1.0% 0.475 0.446 6.0% 0.395 16.8% 0.380 0.337 11.1% 0.300 21.0% 0.293 0.309 5.5% 0.337 15.1% Overall mean value across 6.1% 8.9% parameters Mean log-likelihood at -10189.87 convergence Number of times the All fifty times when compared with value (mean LRT likelihood ratio test (LRT) statistic is 137) statistic favors the Joint model
β 1.000 1.062 6.2% 1.060 6.0% γ1 1.000 0.844 15.6% 0.843 15.7% γ2 1.000 1.021 2.1% 1.025 2.5% γ3 1.000 1.114 11.4% 1.119 11.9% ς1 0.500 0.512 2.4% 0.498 0.5% ς2 0.250 0.263 5.1% 0.265 6.1% ς3 0.500 0.482 3.6% 0.484 3.2% φ1 1.000 0.945 5.5% 1.139 13.9% φ2 0.500 0.489 2.2% 0.473 5.5% φ3 0.750 0.713 4.9% 0.701 6.5% 0.600 0.552 8.1% 0.551 8.1% 1.000 1.011 1.1% 1.010 1.0% 0.475 0.446 6.0% 0.395 16.8% 0.380 0.337 11.1% 0.300 21.0% 0.293 0.309 5.5% 0.337 15.1% Overall mean value across parameters 6.1% 8.9% Mean log-likelihood at convergence -10189.87 Number of times the likelihood ratio test (LRT) statistic favors the Joint model All fifty times when compared with value (mean LRT statistic is 137)