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

M. I. Hossain*, M. S. Ahmed

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 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
Externally publishedYes

Keywords

  • Auxiliary Information
  • Finite Population
  • Two-Stage Sampling

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Management Information Systems
  • Strategy and Management
  • Industrial and Manufacturing Engineering
  • Information Systems and Management

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