{"title":"ARIMA时间序列在就业预测中的应用","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":"{\"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}","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}
ARIMA time series application to employment forecasting
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.
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