当前位置:
X-MOL 学术
›
Struct. Equ. Model.
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Multilevel Autoregressive Models when the Number of Time Points is Small
Structural Equation Modeling: A Multidisciplinary Journal ( IF 6 ) Pub Date : 2020-06-05 , DOI: 10.1080/10705511.2020.1753517 Fien Gistelinck 1 , Tom Loeys 1 , Nele Flamant 1
Structural Equation Modeling: A Multidisciplinary Journal ( IF 6 ) Pub Date : 2020-06-05 , DOI: 10.1080/10705511.2020.1753517 Fien Gistelinck 1 , Tom Loeys 1 , Nele Flamant 1
Affiliation
The multilevel autoregressive model disentangles unobserved heterogeneity from state-dependence. Statistically, the random intercept accounts for the dependence of all measurements at different tim...
中文翻译:
时间点数较少时的多级自回归模型
多级自回归模型将未观察到的异质性与状态依赖性分开。从统计上讲,随机截距解释了所有测量在不同时间的依赖性......
更新日期:2020-06-05
中文翻译:
时间点数较少时的多级自回归模型
多级自回归模型将未观察到的异质性与状态依赖性分开。从统计上讲,随机截距解释了所有测量在不同时间的依赖性......