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Research Article Open access CC BY 4.0

Regression-type Imputation Class of Estimators using Auxiliary Attributes

A. Audu, O. O. Ishaq, A. Abubakar, K. A. Akintola, U. Isah, A. Rashida, S. Muhammed

Asian Research Journal of Mathematics · pp. 1–13 · Published 8 Jul 2021

10.9734/arjom/2021/v17i530296

Abstract

Several imputation schemes and estimators have been proposed by different authors in sample survey. However, these estimators utilized quantitative information of auxiliary characters. In this study, some imputation methods were studied using qualitative information of auxiliary characters and two new imputation schemes using auxiliary attribute have been suggested. The mean squared errors of the proposed estimators were derived up to first order approximation using Taylor series approach. Numerical illustrations with two populations were conducted and the results revealed that the proposed estimator is more efficient.

Imputation non-response estimator population mean attribute

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