{"title":"Seasonal Adjustment Algorithm","authors":"Kirill Spiridonov","doi":"10.2991/ahcs.k.191206.018","DOIUrl":null,"url":null,"abstract":"The paper presents an algorithm for smoothing time series with seasonality. The proposed method is based on median smoothing and the Hodrick–Prescott decomposition. Using a software implementation in the R language, the correctness of the developed algorithm is checked; it is also compared with other seasonal smoothing methods.","PeriodicalId":287734,"journal":{"name":"Proceedings of the Fourth Workshop on Computer Modelling in Decision Making (CMDM 2019)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fourth Workshop on Computer Modelling in Decision Making (CMDM 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/ahcs.k.191206.018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The paper presents an algorithm for smoothing time series with seasonality. The proposed method is based on median smoothing and the Hodrick–Prescott decomposition. Using a software implementation in the R language, the correctness of the developed algorithm is checked; it is also compared with other seasonal smoothing methods.