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Then through the residual analysis of the fitted model, we acquire the forecast value and the confidence interval. Finally, numerical examples are used to prove the feasibility of the method. <\/jats:p>","DOI":"10.1142\/s0218488522500076","type":"journal-article","created":{"date-parts":[[2022,4,20]],"date-time":"2022-04-20T16:43:51Z","timestamp":1650473031000},"page":"171-187","source":"Crossref","is-referenced-by-count":8,"title":["Ridge Estimation for Uncertain Moving Average Model Under Imprecise Observations"],"prefix":"10.1142","volume":"30","author":[{"given":"Xin","family":"Gao","sequence":"first","affiliation":[{"name":"School of Mathematical Science and Physics, North China Electric Power University, Beijing, 102206, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chun","family":"Xue","sequence":"additional","affiliation":[{"name":"School of Mathematical Science and Physics, North China Electric Power University, Beijing, 102206, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2022,4,18]]},"reference":[{"key":"S0218488522500076BIB001","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.1927.0007"},{"key":"S0218488522500076BIB002","doi-asserted-by":"publisher","DOI":"10.1098\/rspa.1931.0069"},{"key":"S0218488522500076BIB003","volume-title":"Time series analysis: Forecasting and control","author":"Box G. 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