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对于区域性雾模型的物流自回归条件峰值超过值模型的模型平均值

Chunli Huang1, Xu Zhao1, Fengying Zhang2

  • 1School of Mathematics, Statistics and Mechanics, Beijing University of Technology, Beijing, China.

Risk analysis : an official publication of the Society for Risk Analysis
|July 7, 2025
PubMed
概括

本研究引入了极端空气污染 (PM2.5) 时间序列的动态模型,通过考虑各种因素和使用先进的统计方法进行准确的预测,改进了预测.

关键词:
动态自回归条件建模 动态自回归条件建模一般化的帕雷托分布.一个模型的平均值.峰值超过值的值.门选择的门选择

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