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

M. I. Hossain, M. Z. Hossain, M. S. Ahmed, M. A. Ali

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper presents a class of predictive estimators for three stages sampling with unequal first and second stage units using auxiliary information. The proposed a class consists of three estimators, namely, regression, ratio and product estimators. Under super population model, the proposed predictive regression estimator is found more efficient.

Original languageEnglish
Pages (from-to)79-86
Number of pages8
JournalInternational Journal of Information and Management Sciences
Volume14
Issue number1
Publication statusPublished - Mar 2003

Fingerprint

Sampling
Estimator
Predictive regressions

Keywords

  • Finite population
  • Multi-stage sampling
  • Predictive estimators

ASJC Scopus subject areas

  • Management Information Systems
  • Industrial and Manufacturing Engineering

Cite this

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

In: International Journal of Information and Management Sciences, Vol. 14, No. 1, 03.2003, p. 79-86.

Research output: Contribution to journalArticle

Hossain, M. I. ; Hossain, M. Z. ; Ahmed, M. S. ; Ali, M. A. / A class of predictive estimators in multi-stage sampling using auxiliary information. In: International Journal of Information and Management Sciences. 2003 ; Vol. 14, No. 1. pp. 79-86.
@article{97580b2ac6674b80a80363267af54feb,
title = "A class of predictive estimators in multi-stage sampling using auxiliary information",
abstract = "This paper presents a class of predictive estimators for three stages sampling with unequal first and second stage units using auxiliary information. The proposed a class consists of three estimators, namely, regression, ratio and product estimators. Under super population model, the proposed predictive regression estimator is found more efficient.",
keywords = "Finite population, Multi-stage sampling, Predictive estimators",
author = "Hossain, {M. I.} and Hossain, {M. Z.} and Ahmed, {M. S.} and Ali, {M. A.}",
year = "2003",
month = "3",
language = "English",
volume = "14",
pages = "79--86",
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 multi-stage sampling using auxiliary information

AU - Hossain, M. I.

AU - Hossain, M. Z.

AU - Ahmed, M. S.

AU - Ali, M. A.

PY - 2003/3

Y1 - 2003/3

N2 - This paper presents a class of predictive estimators for three stages sampling with unequal first and second stage units using auxiliary information. The proposed a class consists of three estimators, namely, regression, ratio and product estimators. Under super population model, the proposed predictive regression estimator is found more efficient.

AB - This paper presents a class of predictive estimators for three stages sampling with unequal first and second stage units using auxiliary information. The proposed a class consists of three estimators, namely, regression, ratio and product estimators. Under super population model, the proposed predictive regression estimator is found more efficient.

KW - Finite population

KW - Multi-stage sampling

KW - Predictive estimators

UR - http://www.scopus.com/inward/record.url?scp=0037336767&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0037336767&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0037336767

VL - 14

SP - 79

EP - 86

JO - International Journal of Information and Management Sciences

JF - International Journal of Information and Management Sciences

SN - 1017-1819

IS - 1

ER -