133
Views
12
CrossRef citations to date
0
Altmetric
Original Articles

Effectual variance estimation strategy in two-occasion successive sampling in presence of random non response

, &
Pages 7201-7224 | Received 19 Feb 2015, Accepted 19 Jan 2016, Published online: 25 Apr 2017
 

ABSTRACT

Present investigation deals with the problem of random non response in estimation of population variance on current occasion in two-occasion successive sampling. To reduce the negative impact of random non response on both occasions, regression type imputation method has been suggested. Using auxiliary information, efficient estimation strategies have been developed for estimation of population variance on the current occasion. Estimator for the population variance is also derived as a special case when random non response occurs only on the current occasion. Empirical studies are carried out to show the dominance of suggested estimators over sample variance and exponential type estimators. Results are interpreted.

MATHEMATICS SUBJECT CLASSIFICATION:

Acknowledgments

Authors are thankful to the reviewers for their valuable suggestions which helped in improving the quality of this paper.

Funding

Authors are grateful to the University Grants Commission, New Delhi, and Indian School of Mines, Dhanbad, for providing the financial assistance and necessary infrastructure to carry out the present work.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,069.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.