{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T00:47:21Z","timestamp":1776386841921,"version":"3.51.2"},"reference-count":20,"publisher":"World Scientific Pub Co Pte Ltd","issue":"01","funder":[{"DOI":"10.13039\/501100012166","name":"National Key R&D Program of China","doi-asserted-by":"crossref","award":["2021YFB2401000"],"award-info":[{"award-number":["2021YFB2401000"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Science & Technology Project of State Grid Corporation of China","award":["SGSDDK00WJJS2200105"],"award-info":[{"award-number":["SGSDDK00WJJS2200105"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Uncert. Sys."],"published-print":{"date-parts":[[2025,3]]},"abstract":"<jats:p> The existing parameter estimation methods of the uncertain moving average model are\u00a0the least square method and ridge estimation. However, for some data with outliers, the least square method cannot eliminate the influence of outliers very well. In order to solve this problem, this paper discusses how to use the parameter estimation method of least absolute deviation to solve the uncertain moving average model, and calculate the mean and variance of the residuals, so as to find the confidence interval of the predicted value. Finally, two examples are given to demonstrate that the uncertain moving average model estimated by the least absolute deviation can predict closer values to the actual values than other estimation methods. <\/jats:p>","DOI":"10.1142\/s1752890924500028","type":"journal-article","created":{"date-parts":[[2024,1,27]],"date-time":"2024-01-27T04:38:02Z","timestamp":1706330282000},"source":"Crossref","is-referenced-by-count":5,"title":["Least Absolute Deviations Estimation for an Uncertain Moving Average Model"],"prefix":"10.1142","volume":"18","author":[{"given":"Lin","family":"Wang","sequence":"first","affiliation":[{"name":"School of Mathematical Science and Physics, North China Electric Power University, Beijing 102206, P. R. China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0462-9813","authenticated-orcid":false,"given":"Xin","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Mathematical Science and Physics, North China Electric Power University, Beijing 102206, P. R. China"}]}],"member":"219","published-online":{"date-parts":[[2024,3,6]]},"reference":[{"key":"S1752890924500028BIB001","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.1927.0007"},{"key":"S1752890924500028BIB002","doi-asserted-by":"publisher","DOI":"10.1098\/rspa.1931.0069"},{"key":"S1752890924500028BIB003","doi-asserted-by":"publisher","DOI":"10.2307\/1907241"},{"key":"S1752890924500028BIB004","volume-title":"Time Series Analysis: Forecasting and Control","author":"Box G. E. P.","year":"1970"},{"key":"S1752890924500028BIB005","doi-asserted-by":"publisher","DOI":"10.2307\/1912773"},{"key":"S1752890924500028BIB006","doi-asserted-by":"publisher","DOI":"10.1016\/0304-4076(86)90063-1"},{"key":"S1752890924500028BIB007","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-73165-8_5"},{"key":"S1752890924500028BIB008","doi-asserted-by":"publisher","DOI":"10.1007\/s10700-018-9298-z"},{"key":"S1752890924500028BIB009","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-04128-7"},{"key":"S1752890924500028BIB010","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-020-05079-0"},{"key":"S1752890924500028BIB011","doi-asserted-by":"publisher","DOI":"10.1142\/S0218488520500415"},{"key":"S1752890924500028BIB012","doi-asserted-by":"publisher","DOI":"10.1142\/S0218488521500033"},{"key":"S1752890924500028BIB013","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-201724"},{"key":"S1752890924500028BIB014","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-210031"},{"key":"S1752890924500028BIB015","doi-asserted-by":"publisher","DOI":"10.1142\/S1752890921500100"},{"key":"S1752890924500028BIB016","doi-asserted-by":"publisher","DOI":"10.1007\/s10700-021-09365-w"},{"issue":"2","key":"S1752890924500028BIB017","doi-asserted-by":"crossref","first-page":"2755","DOI":"10.3233\/JIFS-202522","volume":"41","author":"Zhang J.","year":"2021","journal-title":"J. Intell. Fuzzy Syst.: Appl. Eng. Technol."},{"key":"S1752890924500028BIB018","doi-asserted-by":"publisher","DOI":"10.1080\/03081079.2020.1748616"},{"key":"S1752890924500028BIB019","doi-asserted-by":"publisher","DOI":"10.1080\/03610926.2020.1713373"},{"key":"S1752890924500028BIB020","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-020-04991-9"}],"container-title":["Journal of Uncertain Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S1752890924500028","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,7]],"date-time":"2025-02-07T02:54:03Z","timestamp":1738896843000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/10.1142\/S1752890924500028"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,6]]},"references-count":20,"journal-issue":{"issue":"01","published-print":{"date-parts":[[2025,3]]}},"alternative-id":["10.1142\/S1752890924500028"],"URL":"https:\/\/doi.org\/10.1142\/s1752890924500028","relation":{},"ISSN":["1752-8909","1752-8917"],"issn-type":[{"value":"1752-8909","type":"print"},{"value":"1752-8917","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,3,6]]},"article-number":"2450002"}}