{"title":"ARIMA time series application to employment forecasting","authors":"Xiaoguo Wang, Yuejing Liu","doi":"10.1109/ICCSE.2009.5228480","DOIUrl":null,"url":null,"abstract":"ARIMA model is widely-range used in forecasting analysis area. The paper establishes an ARIMA model on the employment information of computer industry from 2002 to 2007 in China, and using the model, gives a prediction of situation in 2008. The study will be an exploration for subsequent researches on employment situation forecasting, or other related work.","PeriodicalId":303484,"journal":{"name":"2009 4th International Conference on Computer Science & Education","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 4th International Conference on Computer Science & Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSE.2009.5228480","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
ARIMA model is widely-range used in forecasting analysis area. The paper establishes an ARIMA model on the employment information of computer industry from 2002 to 2007 in China, and using the model, gives a prediction of situation in 2008. The study will be an exploration for subsequent researches on employment situation forecasting, or other related work.