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Updated: Jul 2, 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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使用后置预测模型检查方法评估时间变化的动态部分信贷模型的合适性

Sebastian Castro-Alvarez1,2, Sandip Sinharay3, Laura F Bringmann1

  • 1Department of Psychometrics and Statistics, Faculty of Behavioural and Social Sciences, University of Groningen, Groningen, The Netherlands.

The British journal of mathematical and statistical psychology
|February 21, 2024
PubMed
概括

本研究引入了新的统计工具,用于评估时间变化的动态部分信用模型 (TV-DPCM),这对于分析密集的纵向数据至关重要. 提出的后置预测模型检查 (PPMC) 方法有效评估模型的合适性,增强心理测量分析.

关键词:
自动回归模型的自动回归模型模型不适合的模型不适合部分信用模式的部分信用模型.后置预测模型检查后置预测模型检查心理学时间序列时间变化的动态部分信贷模型.

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