Some competitive estimators of finite population variance using multivariate auxiliary information

M. S. Ahmed, M. S. Raman, M. I. Hossain

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

Two estimators for a finite population variance have been proposed using multivariate auxiliary information. Both the estimators are superior to Arcos and Rueda as well as Isaki. Further one of them is unbiased up to first order approximation. Computationally these estimators need only the additional information about the correlation coefficients among the variables.

Original languageEnglish
Pages (from-to)49-54
Number of pages6
JournalInternational Journal of Information and Management Sciences
Volume11
Issue number1
Publication statusPublished - Mar 2000

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Estimator
Approximation
Correlation coefficient

Keywords

  • Finite Population
  • Multivariate Auxiliary Information

ASJC Scopus subject areas

  • Management Information Systems
  • Industrial and Manufacturing Engineering

Cite this

Some competitive estimators of finite population variance using multivariate auxiliary information. / Ahmed, M. S.; Raman, M. S.; Hossain, M. I.

In: International Journal of Information and Management Sciences, Vol. 11, No. 1, 03.2000, p. 49-54.

Research output: Contribution to journalArticle

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