The class of chain estimators for a finite population variance using double sampling

Jehad Al-Jararha; M. S. Ahmed

The class of chain estimators for a finite population variance using double sampling

Jehad Al-Jararha^*, M. S. Ahmed

^*Corresponding author for this work

Mathematics & Statistics

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

6 Citations (Scopus)

Abstract

The class of chain estimators for a finite population variance using double sampling was presented. The class of chain based estimators was proposed using two auxiliary variables. The auxillary variables were frequently used in survey sampling to increase the efficiency of main estimator. The mean square estimator (MSE) criterion was used for comparing various estimators.

Original language	English
Pages (from-to)	13-18
Number of pages	6
Journal	International Journal of Information and Management Sciences
Volume	13
Issue number	2
Publication status	Published - Jun 2002

Keywords

Asymptotic Bias
Double Sampling
Mean Square Error

ASJC Scopus subject areas

Management Information Systems
Industrial and Manufacturing Engineering

Fingerprint Dive into the research topics of 'The class of chain estimators for a finite population variance using double sampling'. Together they form a unique fingerprint.

Cite this

@article{d4dba284b71241d1ba76980d6a6352dd,

title = "The class of chain estimators for a finite population variance using double sampling",

abstract = "The class of chain estimators for a finite population variance using double sampling was presented. The class of chain based estimators was proposed using two auxiliary variables. The auxillary variables were frequently used in survey sampling to increase the efficiency of main estimator. The mean square estimator (MSE) criterion was used for comparing various estimators.",

keywords = "Asymptotic Bias, Double Sampling, Mean Square Error",

author = "Jehad Al-Jararha and Ahmed, {M. S.}",

year = "2002",

month = jun,

language = "English",

volume = "13",

pages = "13--18",

journal = "International Journal of Information and Management Sciences",

issn = "1017-1819",

publisher = "Tamkang University",

number = "2",

}

TY - JOUR

T1 - The class of chain estimators for a finite population variance using double sampling

AU - Al-Jararha, Jehad

AU - Ahmed, M. S.

PY - 2002/6

Y1 - 2002/6

N2 - The class of chain estimators for a finite population variance using double sampling was presented. The class of chain based estimators was proposed using two auxiliary variables. The auxillary variables were frequently used in survey sampling to increase the efficiency of main estimator. The mean square estimator (MSE) criterion was used for comparing various estimators.

AB - The class of chain estimators for a finite population variance using double sampling was presented. The class of chain based estimators was proposed using two auxiliary variables. The auxillary variables were frequently used in survey sampling to increase the efficiency of main estimator. The mean square estimator (MSE) criterion was used for comparing various estimators.

KW - Asymptotic Bias

KW - Double Sampling

KW - Mean Square Error

UR - http://www.scopus.com/inward/record.url?scp=0036606564&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0036606564&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0036606564

VL - 13

SP - 13

EP - 18

JO - International Journal of Information and Management Sciences

JF - International Journal of Information and Management Sciences

SN - 1017-1819

IS - 2

ER -

The class of chain estimators for a finite population variance using double sampling

Abstract

Keywords

ASJC Scopus subject areas

Other files and links

Cite this