Article
Replication Variance Estimation for Two-Phase Stratified Sampling
Journal of the American Statistical Association
Document Type
Article
Disciplines
Publication Version
Published Version
Publication Date
3-1-2006
DOI
10.1198/016214505000000763
Abstract
In two-phase sampling, the second-phase sample is often a stratified sample based on the information observed in the first-phase sample. For the total of a population characteristic, either the double-expansion estimator or the reweighted expansion estimator can be used. Given a consistent first-phase replication variance estimator, we propose a consistent variance estimator that is applicable to both the double-expansion estimator and the reweighted expansion estimator. The proposed method can be extended to multiphase sampling.
Rights
Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted.
Language
en
File Format
application/pdf
Citation Information
Jae Kwang Kim, Alfredo Navarro and Wayne A. Fuller. "Replication Variance Estimation for Two-Phase Stratified Sampling" Journal of the American Statistical Association Vol. 101 Iss. 473 (2006) p. 312 - 320 Available at: http://works.bepress.com/jae-kwang-kim/27/
This article is published as Jae Kwang Kim, Alfredo Navarro & Wayne A Fuller (2006) "Replication Variance Estimation for Two-Phase Stratified Sampling," Journal of the American Statistical Association, 101:473, 312-320, DOI:10.1198/016214505000000763. Posted with permission.