A class of predictive estimators in multi-stage sampling using auxiliary information

M. I. Hossain, M. Z. Hossain, M. S. Ahmed, M. A. Ali

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper presents a class of predictive estimators for three stages sampling with unequal first and second stage units using auxiliary information. The proposed a class consists of three estimators, namely, regression, ratio and product estimators. Under super population model, the proposed predictive regression estimator is found more efficient.

Original languageEnglish
Pages (from-to)79-86
Number of pages8
JournalInternational Journal of Information and Management Sciences
Volume14
Issue number1
Publication statusPublished - Mar 2003

Keywords

  • Finite population
  • Multi-stage sampling
  • Predictive estimators

ASJC Scopus subject areas

  • Management Information Systems
  • Industrial and Manufacturing Engineering

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