Open AccessTrend-seasonal components identification at the stage of time series pre-forecasting analysis
Author(s) -
D. N. Savinskaya,
Elmira Popova,
V U Kondratev,
Marina I. Popova
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/786/1/012012
Subject(s) - series (stratigraphy) , seasonality , identification (biology) , time series , stage (stratigraphy) , trend analysis , computer science , statistics , seasonal adjustment , econometrics , environmental science , meteorology , mathematics , geography , geology , paleontology , mathematical analysis , botany , variable (mathematics) , biology
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.