CSpace
On variance estimation of the ratio estimator under two-phase sampling
Zou, GH; Li, Y
2003
Source PublicationSTATISTICS
ISSN0233-1888
Volume37Issue:1Pages:1-16
AbstractUsing the estimated loss function approach, we compare the variance estimators of the ratio estimator proposed by Rao and Sitter (1995) and S<(a)double over dot>rndal (1992) with the usual one under two-phase sampling. Our results show that their variance estimators are better than the usual one when the size of the second phase sample is greater than 2, which gives a theoretical verification of Rao and Sitter's observation through simulation. We also propose some other variance estimators which improve the ones in Rao and Sitter (1995) and S<(a)double over dot>rndal (1992). The simulation results on the properties of the proposed variance estimators relative to the empirical mean squared error are reported.
Keywordratio estimation superpopulation model two-phase sampling variance estimation
DOI10.1080/02331880290015413
Language英语
WOS Research AreaMathematics
WOS SubjectStatistics & Probability
WOS IDWOS:000180913300001
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/18915
Collection中国科学院数学与系统科学研究院
Affiliation1.Chinese Acad Sci, Inst Syst Sci, Beijing 100080, Peoples R China
2.Beijing Normal Univ, Dept Math, Beijing 100875, Peoples R China
Recommended Citation
GB/T 7714
Zou, GH,Li, Y. On variance estimation of the ratio estimator under two-phase sampling[J]. STATISTICS,2003,37(1):1-16.
APA Zou, GH,&Li, Y.(2003).On variance estimation of the ratio estimator under two-phase sampling.STATISTICS,37(1),1-16.
MLA Zou, GH,et al."On variance estimation of the ratio estimator under two-phase sampling".STATISTICS 37.1(2003):1-16.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zou, GH]'s Articles
[Li, Y]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zou, GH]'s Articles
[Li, Y]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zou, GH]'s Articles
[Li, Y]'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.