Some estimators for the population mean using auxiliary information under ranked set sampling

Walid A. Abu-Dayyeh; M. S. Ahmed; R. A. Ahmed; Hassen A. Muttlak

doi:10.22237/jmasm/1241137380

Some estimators for the population mean using auxiliary information under ranked set sampling

Walid A. Abu-Dayyeh^*, M. S. Ahmed, R. A. Ahmed, Hassen A. Muttlak

^*Corresponding author for this work

Mathematics

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

3 Citations (Scopus)

Abstract

Auxiliary information is used along with ranking information to derive several classes of estimators to estimate the population mean of a variable of interest based on RSS (ranked set sample). The properties of these newly suggested estimators were examined. Comparisons between special cases of these estimators and other known estimators are made using a real data set. Some of the new estimators are superior to the old ones in terms of bias and mean square error.

Original language	English
Pages (from-to)	253-265
Number of pages	13
Journal	Journal of Modern Applied Statistical Methods
Volume	8
Issue number	1
DOIs	https://doi.org/10.22237/jmasm/1241137380
Publication status	Published - May 2009

Keywords

Auxiliary variables
Efficiency
Ranked set sample
Ranking

ASJC Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty

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10.22237/jmasm/1241137380

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abstract = "Auxiliary information is used along with ranking information to derive several classes of estimators to estimate the population mean of a variable of interest based on RSS (ranked set sample). The properties of these newly suggested estimators were examined. Comparisons between special cases of these estimators and other known estimators are made using a real data set. Some of the new estimators are superior to the old ones in terms of bias and mean square error.",

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AB - Auxiliary information is used along with ranking information to derive several classes of estimators to estimate the population mean of a variable of interest based on RSS (ranked set sample). The properties of these newly suggested estimators were examined. Comparisons between special cases of these estimators and other known estimators are made using a real data set. Some of the new estimators are superior to the old ones in terms of bias and mean square error.

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KW - Efficiency

KW - Ranked set sample

KW - Ranking

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Some estimators for the population mean using auxiliary information under ranked set sampling

Abstract

Keywords

ASJC Scopus subject areas

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