Generalised variance functions for longitudinal survey data
Guoyi Zhang,
Yang Cheng and
Yan Lu
Statistical Theory and Related Fields, 2019, vol. 3, issue 2, 150-157
Abstract:
In this research, we propose longitudinal generalised variance functions (LGVFs) to produce convenient estimates of variances by incorporating time effect into modelling. Asymptotic properties of some certain type of estimators are investigated. Simulation studies and implementation of the proposed methods to Current Population Survey (CPS) data show that LGVFs work well in producing standard error estimates.
Date: 2019
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/24754269.2019.1664372 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tstfxx:v:3:y:2019:i:2:p:150-157
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tstf20
DOI: 10.1080/24754269.2019.1664372
Access Statistics for this article
Statistical Theory and Related Fields is currently edited by Zhao Wei
More articles in Statistical Theory and Related Fields from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().