Investigating the Performance of Horvitz-Thompson and Generalized Regression Estimators in Small Domains with Application to Income and Expenditure of Households in Makurdi-Nigeria

Authors

  • A J Ikughur Department of Mathematics/Statistics/ Computer Science, University of Agriculture, Makurdi-Nigeria
  • M T Imande Department of Mathematics/Computer Science, Benue State University Makurdi-Nigeria
  • S Vambe Department of Mathematics/Statistics/ Computer Science, University of Agriculture, Makurdi-Nigeria

DOI:

: https://doi.org/10.46912/napas.124

Abstract

In this study, efficiencies of Horvitz-Thompson (HT) and Generalized Regression (GREG) estimators
are investigated in small domains namely Domain 1, 2 and 3. Efficiency criteria include the standard
error of the estimates (SE) and coefficient of variation (CV) Computed for the study population of
size 1052 households consisting of domain size of 885, 151 and 16 and domain samples sizes of 167,
29 and 3 respectively for Domains 1, 2 and 3. The estimates produced by HT estimator GREG
estimator performs better than HT estimator with domain

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Published

2019-12-30

How to Cite

Ikughur, A. J., Imande, M. T., & Vambe, S. (2019). Investigating the Performance of Horvitz-Thompson and Generalized Regression Estimators in Small Domains with Application to Income and Expenditure of Households in Makurdi-Nigeria. NIGERIAN ANNALS OF PURE AND APPLIED SCIENCES, 2, 214–222. https://doi.org/10.46912/napas.124

Issue

Vol. 2 (2019)

Section

Original Article