{"title":"基于Minkowski差分的稳健区间回归分析","authors":"Masahiro Inuiepchi, Haruki, Fujita, Tanino","doi":"10.1109/SICE.2002.1195774","DOIUrl":null,"url":null,"abstract":"In this paper, we propose robust interval regression methods based on Minkowski difference. In the previous interval regression methods, the estimated interval function is strongly influenced by some outliers. We introduce M-estimators developed in robust regression to interval regression methods and propose interval regression techniques whose resulting estimated interval functions are not strongly influenced by some outliers.","PeriodicalId":301855,"journal":{"name":"Proceedings of the 41st SICE Annual Conference. SICE 2002.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Robust interval regression analysis based on Minkowski difference\",\"authors\":\"Masahiro Inuiepchi, Haruki, Fujita, Tanino\",\"doi\":\"10.1109/SICE.2002.1195774\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose robust interval regression methods based on Minkowski difference. In the previous interval regression methods, the estimated interval function is strongly influenced by some outliers. We introduce M-estimators developed in robust regression to interval regression methods and propose interval regression techniques whose resulting estimated interval functions are not strongly influenced by some outliers.\",\"PeriodicalId\":301855,\"journal\":{\"name\":\"Proceedings of the 41st SICE Annual Conference. SICE 2002.\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-08-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 41st SICE Annual Conference. SICE 2002.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SICE.2002.1195774\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 41st SICE Annual Conference. SICE 2002.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SICE.2002.1195774","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Robust interval regression analysis based on Minkowski difference
In this paper, we propose robust interval regression methods based on Minkowski difference. In the previous interval regression methods, the estimated interval function is strongly influenced by some outliers. We introduce M-estimators developed in robust regression to interval regression methods and propose interval regression techniques whose resulting estimated interval functions are not strongly influenced by some outliers.
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