Calibration estimation of population variance under stratified successive sampling in presence of random non response
G. N. Singh,
D. Bhattacharyya and
A. Bandyopadhyay
Communications in Statistics - Theory and Methods, 2021, vol. 50, issue 19, 4487-4509
Abstract:
This paper considers the problem of estimation of population variance of the study character in stratified successive sampling over two occasions under random non-response. Utilizing information available on a highly positively correlated auxiliary variable, a logarithmic type estimator is proposed and its properties, including bias and mean square error, are discussed. Calibration techniques have been applied for determining the optimum strata weight. Empirical studies have been carried out using both real and simulated data to show the efficiency of our proposed estimator over standard estimator, and suitable recommendations have been put forward to the survey statisticians for applications in real life problems.
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2020.1719158 (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:lstaxx:v:50:y:2021:i:19:p:4487-4509
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2020.1719158
Access Statistics for this article
Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe
More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().