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Updated: Jul 9, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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在小到中型样本大小的分级响应模型的项目参数估计中使用辅助项目信息:实证对等级贝叶斯估计:实证对等级贝叶斯估计

Matthew Naveiras1, Sun-Joo Cho2

  • 1Riverside Insights, IL, USA.

Applied psychological measurement
|November 29, 2023
PubMed
概括

对于项目响应理论,经验贝叶斯和层次贝叶斯方法在小样本大小中提供准确的项目参数估计,在数据有限时超过边际最大概率估计. 层次贝叶斯比实证贝叶斯提供了比实证贝叶斯更准确的后方方差估值.

关键词:
贝叶斯估计贝叶斯估计辅助项目信息 辅助项目信息解释性项目响应模型的解释性项目分级响应模型的分级响应模型收缩估计器的收缩估计器小样本的样本大小很小.

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