Skip to content
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

References (11)

  1. 1 Compromised imputation in survey sampling [DOI]
  2. 2 A new method of imputation in survey sampling [DOI]
  3. 3 Imputation methods of missing data for estimating the population mean using simple random sampling with known correlation coefficient [DOI]
  4. 4 Optimal imputation of missing data for estimation of population mean [DOI]
  5. 5 Some imputation methods for missing data in sample surveys [DOI]
  6. 6 A Study on New Methods of Ratio Exponential Type Imputation in Sample Surveys [DOI]
  7. 7 Exponential-type regression compromised imputation class of estimators [DOI]
  8. 8 On the Efficiency of Imputation Estimators using Auxiliary Attribute [DOI]
  9. 9 Empirical likelihood for parametric model under imputation for missing data [DOI]
  10. 10 On the class of exponential-type imputation estimators of population mean with known population mean of auxiliary variable [DOI]
  11. 11 Modified estimators of population mean using robust multiple regression methods [DOI]

Cited by 15

Modified Compromized Type Method of Imputation for Estimating Population Mean

Y. Aliyu, A. A. Adewara, Ahmed Audu · Journal of scientific research · 2022

Logarithmic Ratio-Type Estimator of Population Coefficient of Variation

M. A. Yunusa, Ahmed Audu, N. Musa · Asian Journal of Probability and Statistics · 2021

Showing 13 of 15 known citations — external sources report more than can currently be individually listed.

Article metrics

Real usage data collected on this platform.

61

Page views

0

PDF downloads

14

Outbound clicks

15

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.