Work

Improved Ratio Type Estimator Using Two Auxiliary Variables under Second Order Approximation

Year: 2014

Type: article

Abstract: In this paper, we have proposed a new Ratio Type Estimator using auxiliary information on two auxiliary variables based on Simple random sampling without replacement (SRSWOR). The proposed estimator is found to be more efficient than the estimators constructed by Olkin (1958), Singh (1965), Lu (2010) and Singh and Kumar (2012) in terms of second-order mean square error.

Source: Mathematical Journal of Interdisciplinary Sciences

DOI: 10.15415/mjis.2014.22014

Authors: Prayas Sharma, Rajesh Singh

Institution: Banaras Hindu University

Language: English

Topic: Survey Sampling and Estimation Techniques

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W2053552341

FWCI: 0.682

Cites: 15

Cited by: 6

Related to: 20