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Updated: May 8, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

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用IRTree方法建模缺失数据对不同模拟条件下的参数估计的影响

Yeşim Beril Soğuksu1, Ergül Demir2

  • 1Turkish Ministry of National Education, Kahramanmaraş, Türkiye.

Educational and psychological measurement
|December 27, 2024
PubMed
概括

项目响应树 (IRTree) 方法为缺失数据提供了比预期最大化 (EM) 和多重归算 (MI) 更准确的能力估计. 在各种缺失数据场景中,IRTree表现强,特别是在低风险测试中.

关键词:
这是一个IRTree树.在RMSE中,它是RMSE.偏见 偏见 偏见 偏见 偏见缺失的数据 缺失的数据模拟模拟是指一个模拟模拟.

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