干预成分:X(It)

David McDowall, R. McCleary, Bradley J. Bartos
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引用次数: 0

摘要

第四章介绍了完整的ARIMA干预模型。大多数实质性理论将这种干预规定为外生二分法。然后,Box-Tiao传递函数将干预的响应分布到整个内生时间序列中,以反映理论上指定的开始时间和持续时间。传递函数允许从残差时间序列中解析噪声分量。干预模型的理论规范至少需要对影响的开始和持续时间有一定的认识。对10个时间序列的详细分析表明,如何处理具有突发性和永久性、逐渐累积性、逐渐衰减性和复杂影响的干预措施。ITSA短期课程的一个流行版本以第4章结束。虽然统计上足够的ARIMA模型可以使用第3-4章中描述的建模策略来构建,但建议使用第5章中描述的辅助方法的调查知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Intervention Component: X( It)
Chapter 4 introduces the full ARIMA intervention model. Most substantive theories specify the intervention as an exogenous dichotomy. A Box-Tiao transfer function then distributes the intervention's response across the endogenous time series to reflect a theoretically specified onset and duration. Transfer functions allow the noise component to be parsed from the residualized time series. Theoretical specification of the intervention model requires at least some sense of the onset and duration of the impact. Detailed analyses of ten time series demonstrate how to handle interventions with abrupt and permanent, gradually accruing, gradually decaying, and complex impacts. One popular version of an ITSA short course ends with Chapter 4. Although statistically adequate ARIMA models can be built using the modeling strategy described in Chapters 3-4, survey knowledge of the auxiliary methods described in Chapter 5 is recommended.
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