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Updated: Jan 6, 2026

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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使用混合尺度变量进行路径分析:分类ML,最小平方和贝叶斯估计

Xinya Liang1, Paula Castro1, Chunhua Cao2

  • 1University of Arkansas, Fayetteville, USA.

Educational and psychological measurement
|October 31, 2025
PubMed
概括

对于预测二进制结果的混合尺度路径分析,加权最小方程 (WLSMV) 和具有弱信息先验的贝叶斯方法 (Bayes-WI) 提供了最准确的估计器,特别是在较小的样本中.

关键词:
贝叶斯估计贝叶斯估计类别的MLR是指MLR的类别.最小平方的最小平方.混合规模的数据数据.路径分析路径分析

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