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Updated: Jul 24, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

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

Published on: July 3, 2020

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使用全车家族GARCH建模框架预测交通波动

Jishun Ou1,2, Xiangmei Huang1, Yang Zhou3

  • 1College of Architectural Science and Engineering, Yangzhou University, Yangzhou 225127, China.

Entropy (Basel, Switzerland)
|July 8, 2023
PubMed
概括

本研究引入了交通波动预测的灵活框架,通过更好地考虑不对称性质来改进现有模型. 这项研究提供了一种统一的方法,用于开发和选择交通流动不确定性的最佳模型.

关键词:
不对称的属性不对称的属性.公共汽车家族的GARCH模型.短期交通流量预测交通运输的可靠性 交通的可靠性流量波动性的流量波动性

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