Nearest Neighbor Imputation for General Parameter Estimation in Survey Sampling

dc.contributor.author Yang, Shu
dc.contributor.author Kim, Jae Kwang
dc.contributor.author Kim, Jae Kwang
dc.contributor.department Statistics
dc.date 2019-09-18T11:03:08.000
dc.date.accessioned 2020-07-02T06:57:31Z
dc.date.available 2020-07-02T06:57:31Z
dc.date.copyright Tue Jan 01 00:00:00 UTC 2019
dc.date.issued 2019-01-01
dc.description.abstract <p>Nearest neighbor imputation has a long tradition for handling item nonresponse in survey sampling. In this article, we study the asymptotic properties of the nearest neighbor imputation estimator for general population parameters, including population means, proportions and quantiles. For variance estimation, we propose novel replication variance estimation, which is asymptotically valid and straightforward to implement. The main idea is to construct replicates of the estimator directly based on its asymptotically linear terms, instead of individual records of variables. The simulation results show that nearest neighbor imputation and the proposed variance estimation provide valid inferences for general population parameters.</p>
dc.description.comments <p>This is a manuscript of a chapter from Yang, S. and Kim, J. (2019), "Nearest Neighbor Imputation for General Parameter Estimation in Survey Sampling", The Econometrics of Complex Survey Data (Advances in Econometrics, Vol. 39), Emerald Publishing Limited, pp. 209-234. doi: <a href="https://doi.org/10.1108/S0731-905320190000039012" title="DOI: https://doi.org/10.1108/S0731-905320190000039012">10.1108/S0731-905320190000039012</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/stat_las_pubs/261/
dc.identifier.articleid 1273
dc.identifier.contextkey 15171413
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath stat_las_pubs/261
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/90578
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/stat_las_pubs/261/2019_Kim_NearestNeighborManuscript.pdf|||Fri Jan 14 23:02:16 UTC 2022
dc.source.uri 10.1108/S0731-905320190000039012
dc.subject.disciplines Design of Experiments and Sample Surveys
dc.subject.disciplines Statistical Methodology
dc.subject.keywords Bahadur representation
dc.subject.keywords Bootstrap
dc.subject.keywords Jackknife variance estimation
dc.subject.keywords Matching
dc.subject.keywords Missing at random
dc.subject.keywords Quantile estimation
dc.title Nearest Neighbor Imputation for General Parameter Estimation in Survey Sampling
dc.type article
dc.type.genre book_chapter
dspace.entity.type Publication
relation.isAuthorOfPublication fdf914ae-e48d-4f4e-bfa2-df7a755320f4
relation.isOrgUnitOfPublication 264904d9-9e66-4169-8e11-034e537ddbca
File
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
2019_Kim_NearestNeighborManuscript.pdf
Size:
192.8 KB
Format:
Adobe Portable Document Format
Description:
Collections