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Updated: Jan 11, 2026

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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Published on: July 3, 2020

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滞后效应模型中的相关余量:它们在连续时间过程中代表什么 (不代表什么)

R M Kuiper1, E L Hamaker1

  • 1Methods and Statistics, Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht, The Netherlands.

Multivariate behavioral research
|November 10, 2025
PubMed
概括

在连续时间 (CT) 矢量自回归 (VAR) 模型中解释剩余相关性至关重要. 应用于CT过程的离散时间 (DT) 模型中的相关余量可以在不同间隔内表明遗漏的原因或影响.

关键词:
连续时间模型.离散时间模型滞后效应模型的延迟效应模型忽略了遗漏的变量.剩余的错误 剩余的错误

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