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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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贝叶斯对纵向多组IRT数据的贝叶斯建模,具有扭曲的潜分布和增长曲线

José Roberto Silva Dos Santos1, Caio Lucidius Naberezny Azevedo2, Jean-Paul Fox3

  • 1Department of Statistics and Applied Mathematics, Federal University of Ceara, Fortaleza, Brazil.

Multivariate behavioral research
|April 10, 2025
PubMed
概括

这项研究引入了一个新的纵向物件响应理论 (IRT) 模型,以更好地分析倾斜的数据. 这种先进的模型准确地捕捉了随着时间的推移潜伏特征中的复杂模式,提高了测量准确性.

关键词:
贝叶斯的推理 贝叶斯的推理项目响应理论.在MCMC算法中,MCMC算法反依赖模式的模型.纵向的IRT数据是什么

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