{"title":"在最近邻估计存在下方差的稳健估计","authors":"C. Wafula, R. Otieno, Mugo Maxwell Mwenda","doi":"10.4314/AJST.V4I2.15310","DOIUrl":null,"url":null,"abstract":"The problem of estimating the variance of an estimator of the population total when missing values have been filled using a Nearest Neighbour (NN) imputation method is considered. The estimator is developed assuming a more general model than those considered in earlier studies. In an empirical study involving two artificial populations, the proposed estimator is found to perform better or as well as other two estimators in the current use. African Journal of Science and Technology Vol.4(2) 2003: 5-11","PeriodicalId":7641,"journal":{"name":"African Journal of Science and Technology","volume":"117 1","pages":"5-11"},"PeriodicalIF":0.0000,"publicationDate":"2004-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"ROBUST ESTIMATION OF VARIANCE IN THE PRESENCE OF NEAREST NEIGHBOUR IMPUTATION\",\"authors\":\"C. Wafula, R. Otieno, Mugo Maxwell Mwenda\",\"doi\":\"10.4314/AJST.V4I2.15310\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of estimating the variance of an estimator of the population total when missing values have been filled using a Nearest Neighbour (NN) imputation method is considered. The estimator is developed assuming a more general model than those considered in earlier studies. In an empirical study involving two artificial populations, the proposed estimator is found to perform better or as well as other two estimators in the current use. African Journal of Science and Technology Vol.4(2) 2003: 5-11\",\"PeriodicalId\":7641,\"journal\":{\"name\":\"African Journal of Science and Technology\",\"volume\":\"117 1\",\"pages\":\"5-11\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"African Journal of Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4314/AJST.V4I2.15310\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"African Journal of Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4314/AJST.V4I2.15310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ROBUST ESTIMATION OF VARIANCE IN THE PRESENCE OF NEAREST NEIGHBOUR IMPUTATION
The problem of estimating the variance of an estimator of the population total when missing values have been filled using a Nearest Neighbour (NN) imputation method is considered. The estimator is developed assuming a more general model than those considered in earlier studies. In an empirical study involving two artificial populations, the proposed estimator is found to perform better or as well as other two estimators in the current use. African Journal of Science and Technology Vol.4(2) 2003: 5-11
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