{"title":"带截尾数据的半参数模型估计","authors":"Chen Zhongwei, Lu Yiqiang","doi":"10.1109/CCDC.2010.5498761","DOIUrl":null,"url":null,"abstract":"For semiparametric regression model with censored data, we firstly propose the estimators of parametric and nonparametric part by the use of kernel method based on distribution function and least squares methods. Secondly, the asymptotic normality of parametric part and the strong consistency of nonparametric part are proved.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimation of semiparametric model with censored data\",\"authors\":\"Chen Zhongwei, Lu Yiqiang\",\"doi\":\"10.1109/CCDC.2010.5498761\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For semiparametric regression model with censored data, we firstly propose the estimators of parametric and nonparametric part by the use of kernel method based on distribution function and least squares methods. Secondly, the asymptotic normality of parametric part and the strong consistency of nonparametric part are proved.\",\"PeriodicalId\":227938,\"journal\":{\"name\":\"2010 Chinese Control and Decision Conference\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Chinese Control and Decision Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC.2010.5498761\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Chinese Control and Decision Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2010.5498761","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimation of semiparametric model with censored data
For semiparametric regression model with censored data, we firstly propose the estimators of parametric and nonparametric part by the use of kernel method based on distribution function and least squares methods. Secondly, the asymptotic normality of parametric part and the strong consistency of nonparametric part are proved.
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