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

M. I. Hossain, M. S. Ahmed

Research output: Contribution to journalArticle

3 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

Fingerprint

Mean square error
Sampling
Estimator

Keywords

  • Auxiliary Information
  • Finite Population
  • Two-Stage Sampling

ASJC Scopus subject areas

  • Management Information Systems
  • Industrial and Manufacturing Engineering

Cite this

A class of predictive estimators in two-stage sampling using auxiliary information. / Hossain, M. I.; Ahmed, M. S.

In: International Journal of Information and Management Sciences, Vol. 12, No. 1, 03.2001, p. 49-55.

Research output: Contribution to journalArticle

@article{7c13cf1ff604426d901e44e0c1430b7d,
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.",
keywords = "Auxiliary Information, Finite Population, Two-Stage Sampling",
author = "Hossain, {M. I.} and Ahmed, {M. S.}",
year = "2001",
month = "3",
language = "English",
volume = "12",
pages = "49--55",
journal = "International Journal of Information and Management Sciences",
issn = "1017-1819",
publisher = "Tamkang University",
number = "1",

}

TY - JOUR

T1 - A class of predictive estimators in two-stage sampling using auxiliary information

AU - Hossain, M. I.

AU - Ahmed, M. S.

PY - 2001/3

Y1 - 2001/3

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

UR - http://www.scopus.com/inward/record.url?scp=0035295371&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0035295371&partnerID=8YFLogxK

M3 - Article

VL - 12

SP - 49

EP - 55

JO - International Journal of Information and Management Sciences

JF - International Journal of Information and Management Sciences

SN - 1017-1819

IS - 1

ER -