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

M. I. Hossain; M. S. Ahmed

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

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

^*Corresponding author for this work

Mathematics & Statistics

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	49-55
Number of pages	7
Journal	International Journal of Information and Management Sciences
Volume	12
Issue number	1
Publication status	Published - Mar 2001

Keywords

Auxiliary Information
Finite Population
Two-Stage Sampling

ASJC Scopus subject areas

Management Information Systems
Industrial and Manufacturing Engineering

Cite this

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title = "A class of predictive estimators in two-stage sampling using auxiliary information",

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.",

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AU - Hossain, M. I.

AU - Ahmed, M. S.

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N2 - 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.

AB - 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.

KW - Auxiliary Information

KW - Finite Population

KW - Two-Stage Sampling

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M3 - Article

AN - SCOPUS:0035295371

VL - 12

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JO - International Journal of Information and Management Sciences

JF - International Journal of Information and Management Sciences

SN - 1017-1819

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ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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