On generalized exponential chain ratio estimators under stratified two-phase random sampling. Issue 6 (19th March 2017)
- Record Type:
- Journal Article
- Title:
- On generalized exponential chain ratio estimators under stratified two-phase random sampling. Issue 6 (19th March 2017)
- Main Title:
- On generalized exponential chain ratio estimators under stratified two-phase random sampling
- Authors:
- Shabbir, Javid
Gupta, Sat - Abstract:
- ABSTRACT: Sanaullah et al. (2014 ) have suggested generalized exponential chain ratio estimators under stratified two-phase sampling scheme for estimating the finite population mean. However, the bias and mean square error (MSE) expressions presented in that work need some corrections, and consequently the study based on efficiency comparison also requires corrections. In this article, we revisit Sanaullah et al. (2014 ) estimator and provide the correct bias and MSE expressions of their estimator. We also propose an estimator which is more efficient than several competing estimators including the classes of estimators in Sanaullah et al. (2014 ). Three real datasets are used for efficiency comparisons.
- Is Part Of:
- Communications in statistics. Volume 46:Issue 6(2017)
- Journal:
- Communications in statistics
- Issue:
- Volume 46:Issue 6(2017)
- Issue Display:
- Volume 46, Issue 6 (2017)
- Year:
- 2017
- Volume:
- 46
- Issue:
- 6
- Issue Sort Value:
- 2017-0046-0006-0000
- Page Start:
- 2910
- Page End:
- 2920
- Publication Date:
- 2017-03-19
- Subjects:
- Stratified two-phase sampling -- Auxiliary variables -- Bias -- MSE -- Efficiency.
62D05
Mathematical statistics -- Periodicals
Mathematics
Statistics
519.2 - Journal URLs:
- http://www.tandfonline.com/ ↗
- DOI:
- 10.1080/03610926.2015.1053936 ↗
- Languages:
- English
- ISSNs:
- 0361-0926
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3363.432000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 182.xml