Replication variance estimation under two-phase sampling

Date
2011-06-01
Authors
Kim, Jae Kwang
Kim, Jae Kwang
Yu, Cindy
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Altmetrics
Authors
Research Projects
Organizational Units
Statistics
Organizational Unit
Journal Issue
Series
Department
Statistics
Abstract

In two-phase sampling for stratification, the second-phase sample is selected by a stratified sample based on the information observed in the first-phase sample. We develop a replication-based bias adjusted variance estimator that extends the method of Kim, Navarro and Fuller (2006). The proposed method is also applicable when the first-phase sampling rate is not negligible and when second-phase sample selection is unequal probability Poisson sampling within each stratum. The proposed method can be extended to variance estimation for two-phase regression estimators. Results from a limited simulation study are presented.

Comments

This article is published as Kim, Jae Kwang, and Cindy Long Yu. "Replication variance estimation under two-phase sampling." Survey Methodology 37, no. 37 (2011): 67-74. Posted with permission.

Description
Keywords
Citation
DOI
Source
Collections