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imputationofmeanofratiosformissingdataanditsapplicationtoppswrsampling
Zou Guohua1; Li Yingfu2; Zhu Rong1; Guan Zhong3
2010
Source Publicationactamathematicasinicaenglishseries
ISSN1439-8516
Volume26Issue:5Pages:863
AbstractIn practical survey sampling, nonresponse phenomenon is unavoidable. How to impute missing data is an important problem. There are several imputation methods in the literature. In this paper, the imputation method of the mean of ratios for missing data under uniform response is applied to the estimation of a finite population mean when the PPSWR sampling is used. The imputed estimator is valid under the corresponding response mechanism regardless of the model as well as under the ratio model regardless of the response mechanism. The approximately unbiased jackknife variance estimator is also presented. All of these results are extended to the case of non-uniform response. Simulation studies show the good performance of the proposed estimators.
Language英语
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/43209
Collection系统科学研究所
Affiliation1.中国科学院数学与系统科学研究院
2.Department of Mathematical Sciences, University of Houston-Clear Lake, Houston
3.印第安纳大学
Recommended Citation
GB/T 7714
Zou Guohua,Li Yingfu,Zhu Rong,et al. imputationofmeanofratiosformissingdataanditsapplicationtoppswrsampling[J]. actamathematicasinicaenglishseries,2010,26(5):863.
APA Zou Guohua,Li Yingfu,Zhu Rong,&Guan Zhong.(2010).imputationofmeanofratiosformissingdataanditsapplicationtoppswrsampling.actamathematicasinicaenglishseries,26(5),863.
MLA Zou Guohua,et al."imputationofmeanofratiosformissingdataanditsapplicationtoppswrsampling".actamathematicasinicaenglishseries 26.5(2010):863.
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