{"title":"大西洋鲱鱼捕获量的时间序列分析与预测","authors":"A. L. Jensen","doi":"10.2307/1350524","DOIUrl":null,"url":null,"abstract":"The autocorrelation structure of menhaden catch data are examined, and a second order autoregressive model is applied for prediction of menhaden catch. The model is useful for year ahead predictions of catch, and the model enables calculation of confidence intervals or error bounds.","PeriodicalId":106819,"journal":{"name":"Chesapeake Science","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1976-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Time series analysis and forecasting of Atlantic menhaden catch\",\"authors\":\"A. L. Jensen\",\"doi\":\"10.2307/1350524\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The autocorrelation structure of menhaden catch data are examined, and a second order autoregressive model is applied for prediction of menhaden catch. The model is useful for year ahead predictions of catch, and the model enables calculation of confidence intervals or error bounds.\",\"PeriodicalId\":106819,\"journal\":{\"name\":\"Chesapeake Science\",\"volume\":\"85 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1976-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chesapeake Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2307/1350524\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chesapeake Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2307/1350524","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Time series analysis and forecasting of Atlantic menhaden catch
The autocorrelation structure of menhaden catch data are examined, and a second order autoregressive model is applied for prediction of menhaden catch. The model is useful for year ahead predictions of catch, and the model enables calculation of confidence intervals or error bounds.