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A simple INAR(1) model for analyzing count time series with multiple features
Communications in Statistics - Theory and Methods ( IF 0.8 ) Pub Date : 2024-02-21 , DOI: 10.1080/03610926.2024.2314613 Yao Kang 1 , Danshu Sheng 2 , Feilong Lu 3
Communications in Statistics - Theory and Methods ( IF 0.8 ) Pub Date : 2024-02-21 , DOI: 10.1080/03610926.2024.2314613 Yao Kang 1 , Danshu Sheng 2 , Feilong Lu 3
Affiliation
Count time series frequently exhibit multiple features such as zero inflation, zero deflation, overdispersion, and underdispersion. In practice, heavy-tailedness and zero truncation are also suffer...
中文翻译:
用于分析具有多个特征的计数时间序列的简单 INAR(1) 模型
计数时间序列经常表现出多种特征,例如零通货膨胀、零通货紧缩、过度离散和欠离散。在实践中,重尾和零截断也受到影响......
更新日期:2024-02-22
中文翻译:
用于分析具有多个特征的计数时间序列的简单 INAR(1) 模型
计数时间序列经常表现出多种特征,例如零通货膨胀、零通货紧缩、过度离散和欠离散。在实践中,重尾和零截断也受到影响......