Iteration 1: log likelihood = 5331.0061 (not concave) Iteration 2: log likelihood = 5331.2481 (not concave) Iteration 3: log likelihood = 5332.9625 Iteration 4: log likelihood = 5333.4837 Iteration 5: log likelihood = 5333.5162 Iteration 6: log likelihood = 5333.5163 Markov-switching dynamic regres...
Iteration 1: log likelihood = -48594.032 (not concave) Iteration 2: log likelihood = -48387.836 (not concave) Iteration 3: log likelihood = -48199.213 Iteration 4: log likelihood = -47919.729 Iteration 5: log likelihood = -47759.549 Iteration 6: log likelihood = -47714.824 Iteration 7: log l...
. glm y z x, family(binomial) link(log) eform Iteration 0: log likelihood = -9271.4631 Iteration 1: log likelihood = -5833.7585 Iteration 2: log likelihood = -5733.9167 (not concave) Iteration 3: log likelihood = -5733.9167 (not concave) ... 1. 2. 3. 4. 5. 6. 7. 然而,这无法...
最明显的方法是在我们的GLM命令中添加x: . glm y z x, family(binomial)link(log) eform Iteration 0:loglikelihood = -9271.4631 Iteration 1:loglikelihood = -5833.7585 Iteration 2:loglikelihood = -5733.9167 (not concave) Iteration 3:loglikelihood = -5733.9167 (not concave) ... 然而,这无法收敛 ...
Iteration 1:loglikelihood = -13149.83 (not concave) Iteration 2:loglikelihood = -12467.245 Iteration 3:loglikelihood = -11039.218 Iteration 4:loglikelihood = -9929.2298 Iteration 5:loglikelihood = -9715.1143 Iteration 6:loglikelihood = -9703.2464 ...
Iteration 3: log likelihood = -5733.9167 (not concave) ... 然而,这无法收敛 。 通过逻辑模型估计风险比率 一个相对简单的替代方案是使用逻辑模型来估计调整x的治疗风险比。 Logistic regression Number of obs = 10000 LR chi2(2) = 2797.60 Prob > chi2 = 0.0000 ...
Log likelihood = -2152.1514 (not concave) Iteration 1: Log likelihood = -2125.9213 (not concave) Iteration 2: Log likelihood = -2120.1861 Iteration 3: Log likelihood = -2115.6177 Iteration 4: Log likelihood = -2114.5896 Iteration 5: Log likelihood = -2114.5881 Iteration 6: Log likelihood = -...
Iteration 2: log likelihood = -508.63592 Iteration 3: log likelihood = -508.63592 1. 2. 3. 4. 5. 6. 马尔可夫转换动态回归样本:1954q3-2010q4观测值数量= 226 状态数= 2 AIC = 4,5455 无条件概率:HQIC = 4,5760 SBIC = 4,6211 对数似然= -508.63592 ...
Iteration 0: log likelihood = 110.9372 (not concave) Iteration 1: log likelihood = 120.68028 Iteration 2: log likelihood = 123.23244 Iteration 3: log likelihood = 131.47084 Iteration 3: log likelihood = 131.72182 Iteration 3: log likelihood = 131.7225 ...
Iteration0: log likelihood =110.9372 (not concave) Iteration1: log likelihood =120.68028 Iteration2: log likelihood =123.23244 Iteration3: log likelihood =131.47084 Iteration3: log likelihood =131.72182 Iteration3: log likelihood =131.7225 Iteration3: log likelihood =131.7225 ...