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预测波动了每日COVID-19死亡人数系列,采用细分Poisson模型和ARIMA模型的新组合

Xiaolei Zhang1, Renjun Ma2

  • 1Pan-Asia Business School, Yunnan Normal University, Kunming, People's Republic of China.

Journal of applied statistics
|August 2, 2023
PubMed
概括

本研究引入了一种新的细分Poisson和自回归集成移动平均 (ARIMA) 模型组合,以准确预测传染病数据,尊重其计数性质和复杂模式,以便更好地分析COVID-19爆发.

关键词:
冠状病毒病毒疾病 冠状病毒疾病发生率的发生率.传染病是一种传染性疾病.患病率的流行情况.时间序列时间序列

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