{"title":"缺失X - a的参数和非参数回归","authors":"H. Toutenburg, C. Heumann, T. Nittner, S. Scheid","doi":"10.5282/UBM/EPUB.1664","DOIUrl":null,"url":null,"abstract":"This paper gives a detailed overview of the problem of missing data in parametric and nonparametric regression. Theoreti- cal basics, properties as well as simulation results may help the reader to get familiar with the common problem of incomplete data sets. Of course, not all occurences can be discussed so this paper could be seen as an introduction to missing data within regression analysis and as an extension to the early paper of (19).","PeriodicalId":42965,"journal":{"name":"JIRSS-Journal of the Iranian Statistical Society","volume":"1 1","pages":"79-109"},"PeriodicalIF":0.1000,"publicationDate":"2002-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Parametric and Nonparametric Regression with Missing X’s—A Review\",\"authors\":\"H. Toutenburg, C. Heumann, T. Nittner, S. Scheid\",\"doi\":\"10.5282/UBM/EPUB.1664\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper gives a detailed overview of the problem of missing data in parametric and nonparametric regression. Theoreti- cal basics, properties as well as simulation results may help the reader to get familiar with the common problem of incomplete data sets. Of course, not all occurences can be discussed so this paper could be seen as an introduction to missing data within regression analysis and as an extension to the early paper of (19).\",\"PeriodicalId\":42965,\"journal\":{\"name\":\"JIRSS-Journal of the Iranian Statistical Society\",\"volume\":\"1 1\",\"pages\":\"79-109\"},\"PeriodicalIF\":0.1000,\"publicationDate\":\"2002-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JIRSS-Journal of the Iranian Statistical Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5282/UBM/EPUB.1664\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JIRSS-Journal of the Iranian Statistical Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5282/UBM/EPUB.1664","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
Parametric and Nonparametric Regression with Missing X’s—A Review
This paper gives a detailed overview of the problem of missing data in parametric and nonparametric regression. Theoreti- cal basics, properties as well as simulation results may help the reader to get familiar with the common problem of incomplete data sets. Of course, not all occurences can be discussed so this paper could be seen as an introduction to missing data within regression analysis and as an extension to the early paper of (19).