{"title":"Statistica Afacerilor: Aplicaţii, partea a cincea (Business Statistics: Exercises, Part 5)","authors":"R. Stefanescu, Ramona Dumitriu","doi":"10.2139/ssrn.3884467","DOIUrl":null,"url":null,"abstract":"Romanian Abstract: Uneori, evoluţiile variabilelor economice sunt caracterizate prin fluctuaţii sezoniere semnificative care pot estompa celelalte componente ale seriilor de timp. În astfel de situaţii se recomandă identificarea şi înlăturarea componentelor sezoniere. Această lucrare prezintă o tehnică simplă de ajustare sezonieră pe baza modelului aditiv al seriilor de timp. English Abstract: Sometimes, the evolutions of the economic variables are characterized by significant seasonal fluctuations that could blur the other components of times series. In such situations it is recommended the seasonal components to be identified and removed. This paper presents a simple technique of seasonal adjustment based on the additive model of time series.","PeriodicalId":409545,"journal":{"name":"EduRN: Economics Education (ERN) (Topic)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EduRN: Economics Education (ERN) (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3884467","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
Romanian Abstract: Uneori, evoluţiile variabilelor economice sunt caracterizate prin fluctuaţii sezoniere semnificative care pot estompa celelalte componente ale seriilor de timp. În astfel de situaţii se recomandă identificarea şi înlăturarea componentelor sezoniere. Această lucrare prezintă o tehnică simplă de ajustare sezonieră pe baza modelului aditiv al seriilor de timp. English Abstract: Sometimes, the evolutions of the economic variables are characterized by significant seasonal fluctuations that could blur the other components of times series. In such situations it is recommended the seasonal components to be identified and removed. This paper presents a simple technique of seasonal adjustment based on the additive model of time series.
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