CSpace  > 系统科学研究所
Zou Guohua1; Li Yingfu2; Zhu Rong1; Guan Zhong3
Source Publicationactamathematicasinicaenglishseries
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.
Document Type期刊论文
2.Department of Mathematical Sciences, University of Houston-Clear Lake, Houston
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zou Guohua]'s Articles
[Li Yingfu]'s Articles
[Zhu Rong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zou Guohua]'s Articles
[Li Yingfu]'s Articles
[Zhu Rong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zou Guohua]'s Articles
[Li Yingfu]'s Articles
[Zhu Rong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.