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Updated: May 27, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
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模拟致命事故的低时间,大空间数据:负二项式GSARIMAX时间序列的应用

Sara Ghalehnovi1, Abolfazl Mohammadzadeh Moghaddam1, Seyed Iman Mohammadpour2

  • 1Department of Civil Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Razavi Khorasan, Iran.

Accident; analysis and prevention
|February 15, 2025
PubMed
概括

一个新的负双项通用季节性自回归集成移动平均值与外源变量 (GSARIMAX) 模型准确地分析了伊朗每天的致命交通事故. 这种先进的模型结合了交通量和温度,改善了道路安全干预措施的预测.

关键词:
致命的撞车事故导致死亡.高斯的格萨里马克斯GSARIMAX时间低,空间大.负二项式 GSARIMAX 的负二项式后来的预测分布.

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