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Trend-seasonal components identification at the stage of time series pre-forecasting analysis
IOP Conference Series: Earth and Environmental Science Pub Date : 2021-06-08 , DOI: 10.1088/1755-1315/786/1/012012
D N Savinskaya 1 , E V Popova 1 , V U Kondratev 1 , M I Popova 1
Affiliation  

This article contains the economic processes trend-seasonality identification and its analysis. The object of research is the water delivery market - HOD (Home & Office Delivery). The subject of the study is the drinking mineral water sales time series (TS) in the Krasnodar Territory in 19-liter PET bottles. The authors applied the Chetverikov’s iterative filtering method to the time series, implemented in the MS Excel environment. As the work result a step-by-step illustration of the filtering application to time series is presented, deviations are estimated, trend and the wave intensity coefficient are given. The practical significance of the study is that the characteristics obtained are the basis for subsequent effective forecasting.



中文翻译:

时间序列预预测分析阶段的趋势-季节性成分识别

本文包含经济过程趋势-季节性识别及其分析。研究对象是供水市场——HOD(Home & Office Delivery)。该研究的主题是克拉斯诺达尔边疆区 19 升 PET 瓶饮用矿泉水销售时间序列 (TS)。作者将 Chetverikov 的迭代过滤方法应用于时间序列,在 MS Excel 环境中实现。作为工作结果,逐步说明了对时间序列的滤波应用,估计了偏差,给出了趋势和波浪强度系数。研究的现实意义在于所获得的特征是后续有效预测的基础。

更新日期:2021-06-08
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