Skip to content
Research Article Open access CC BY 4.0

Estimation of Finite Population Mean Using an Improved Class of Mixed Estimators with Two Auxiliary Variables

Priyaranjan Dash, Kalyani Sunani

Asian Research Journal of Mathematics · pp. 37–49 · Published 31 Mar 2022

10.9734/arjom/2022/v18i330365

Abstract

This paper deals with a class of estimators of finite population mean using a combination of two mixed classes of estimators by exploring the information on two auxiliary variables. We have assumed that the study variable y is highly correlated with both the auxiliary variables x and z. The optimum properties of the proposed class of estimators is studied both theoretically and empirically. The minimum variance bound(MVB) estimator of this class is also derived and compared with several other competing estimators in terms of its bias and percent relative efficiency.

Population mean class of estimators ratio estimator dual to product estimator relative bias minimum variance bound (MVB) percent relative efficiency (PRE)

Cited by 0

No indexed citations yet.

Article metrics

Real usage data collected on this platform.

7

Page views

0

PDF downloads

0

Outbound clicks

0

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

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.