Open AccessRegression-type Imputation Class of Estimators using Auxiliary Attributes
Author(s) -
Ahmed Audu,
O. O. Ishaq,
Adamu Abdul Abubakar,
K. A. Akintola,
U. Isah,
A. Rashida,
Shah Muhammed
Publication year - 2021
Publication title -
asian research journal of mathematics
Language(s) - English
Resource type - Journals
ISSN - 2456-477X
DOI - 10.9734/arjom/2021/v17i530296
Subject(s) - estimator , imputation (statistics) , mathematics , statistics , regression , mean squared error , econometrics , computer science , missing data
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.