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

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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",

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