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

M. I. Hossain, M. S. Ahmed

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This paper presents a class of predictive estimator for a two-stage sampling with unequal first stage units using auxiliary information. The proposed class consists of mainly three different types of estimators namely, Ratio, Regression and Product estimator. The mean square error (MSE) and minimum mean square error of this class have also been derived in this paper.

Original languageEnglish
Pages (from-to)49-55
Number of pages7
JournalInternational Journal of Information and Management Sciences
Volume12
Issue number1
Publication statusPublished - Mar 2001

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Keywords

  • Auxiliary Information
  • Finite Population
  • Two-Stage Sampling

ASJC Scopus subject areas

  • Management Information Systems
  • Industrial and Manufacturing Engineering

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