Estimate of Population Variance by Introducing Gini’s Mean Difference as Auxiliary Information
M. A. Bhat, S. Maqbool, S. A. Mir, T. A. Raja, Ab. Rauf, N. A. Sofi, Immad A. Shah
Journal of Scientific Research and Reports · pp. 1–4 · Published 30 May 2018
10.9734/JSRR/2018/41962Abstract
In this study we have introduced a new reliable and robust ratio estimator for estimating the population variance by utilizing the auxiliary information as Gini’s mean difference. Efficiency conditions along with bias and mean square error has been worked out through a numerical demonstration under which proposed estimator have proven better than the existing estimators under consideration.
Cited by 0
No indexed citations yet.
Related research
- A New Modified Approach for the Improvement of New Estimator Using Known Value of Downton’s Method as Auxiliary Information for Estimating the Population Variance — shares topic coverage
- An Improvement of Robust Estimator Using Known Values of Probability Weighted Moment for Finite Population Variance — shares topic coverage
- On A Shape Parameter of Gompertz Inverse Exponential Distribution Using Classical and Non Classical Methods of Estimation — shares topic coverage
- Assessment of Factors Affecting the Performance of Women Entrepreneurs in MSE in Polosara District of Ganjam, Odisha — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.