{"title":"关于有删减数据的强混合随机设计模型中回归函数模式的非参数核估计","authors":"Salim Bouzebda, Salah Khardani, Yousri Slaoui","doi":"10.1080/03610926.2024.2372062","DOIUrl":null,"url":null,"abstract":"This study delves into the conditional mode estimation of a randomly censored scalar response variable operating within the framework of strong mixing conditions. We introduce a kernel-based estima...","PeriodicalId":10531,"journal":{"name":"Communications in Statistics - Theory and Methods","volume":"81 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On non parametric kernel estimation of the mode of the regression function in the strong mixing random design model with censored data\",\"authors\":\"Salim Bouzebda, Salah Khardani, Yousri Slaoui\",\"doi\":\"10.1080/03610926.2024.2372062\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study delves into the conditional mode estimation of a randomly censored scalar response variable operating within the framework of strong mixing conditions. We introduce a kernel-based estima...\",\"PeriodicalId\":10531,\"journal\":{\"name\":\"Communications in Statistics - Theory and Methods\",\"volume\":\"81 1\",\"pages\":\"\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2024-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications in Statistics - Theory and Methods\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1080/03610926.2024.2372062\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Statistics - Theory and Methods","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1080/03610926.2024.2372062","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
On non parametric kernel estimation of the mode of the regression function in the strong mixing random design model with censored data
This study delves into the conditional mode estimation of a randomly censored scalar response variable operating within the framework of strong mixing conditions. We introduce a kernel-based estima...
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The Theory and Methods series intends to publish papers that make theoretical and methodological advances in Probability and Statistics. New applications of statistical and probabilistic methods will also be considered for publication. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.
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