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Standardized Residual as Response Function for Order Identification of Multi Input Intervention Analysis

机译:用于多输入干预分析的订单识别的标准化残余函数

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摘要

Intervention analysis is a statistical model in the group of time series analysis which is widely used to describe the effect of an intervention caused by external or internal factors. An example of external factors that often occurs in Indonesia is a disaster, both natural or man-made disaster. The main purpose of this paper is to provide the results of theoretical studies on identification step for determining the order of multi inputs intervention analysis for evaluating the magnitude and duration of the impact of interventions on time series data. The theoretical result showed that the standardized residuals could be used properly as response function for determining the order of multi inputs intervention model. Then, these results are applied for evaluating the impact of a disaster on a real case in Indonesia, i.e. the magnitude and duration of the impact of the Lapindo mud on the volume of vehicles on the highway. Moreover, the empirical results showed that the multi inputs intervention model can describe and explain accurately the magnitude and duration of the impact of disasters on a time series data.
机译:干预分析是一组时间序列分析中的统计模型,其广泛用于描述由外部或内部因素引起的干预的效果。通常发生在印度尼西亚的外部因素的一个例子是自然或人为灾难。本文的主要目的是提供关于确定多输入干预分析顺序的识别步骤的理论研究结果,以评估干预措施对时间序列数据的影响的幅度和持续时间。理论结果表明,标准化残差可以正常使用,作为确定多输入干预模型的顺序的响应函数。然后,这些结果适用于评估灾难对印度尼西亚的实际情况的影响,即Lapindo泥对高速公路车辆数量的影响的幅度和持续时间。此外,经验结果表明,多输入干预模型可以准确地描述和解​​释灾害对时间序列数据的影响的幅度和持续时间。

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