The efficiency of stratified quartile ranked set sampling in estimating the population mean

Mahmoud Ibrahim Syam; Kamarulzaman Ibrahim; Amer Ibrahim Al-Omari

The efficiency of stratified quartile ranked set sampling in estimating the population mean

Mahmoud Ibrahim Syam, Kamarulzaman Ibrahim, Amer Ibrahim Al-Omari

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

Abstract

In this paper, new modified ranked set sampling method is suggested for estimating the population mean, namely, stratified quartile ranked set sampling (SQRSS). The SQRSS is compared with simple random sampling (SRS), stratified simple random sampling (SSRS) and stratified ranked set sampling (SRSS) methods. It is found that the SQRSS estimators are unbiased of the population mean of symmetric distributions. Also, it turns out that the SQRSS is more efficient than its counterparts using SRS, SSRS and SRSS based on the same number of measured units.

Original language	English
Pages (from-to)	175-190
Number of pages	16
Journal	Tamsui Oxford Journal of Information and Mathematical Sciences
Volume	28
Issue number	2
Publication status	Published - 2012
Externally published	Yes

Keywords

Quartile ranked set sampling
Ranked set sampling
Simple random sampling
Stratified ranked set sampling

ASJC Scopus subject areas

General Mathematics

Cite this

@article{beb66195ccdc4b6aaab3882667cfce92,

title = "The efficiency of stratified quartile ranked set sampling in estimating the population mean",

abstract = "In this paper, new modified ranked set sampling method is suggested for estimating the population mean, namely, stratified quartile ranked set sampling (SQRSS). The SQRSS is compared with simple random sampling (SRS), stratified simple random sampling (SSRS) and stratified ranked set sampling (SRSS) methods. It is found that the SQRSS estimators are unbiased of the population mean of symmetric distributions. Also, it turns out that the SQRSS is more efficient than its counterparts using SRS, SSRS and SRSS based on the same number of measured units.",

keywords = "Quartile ranked set sampling, Ranked set sampling, Simple random sampling, Stratified ranked set sampling",

author = "Syam, {Mahmoud Ibrahim} and Kamarulzaman Ibrahim and Al-Omari, {Amer Ibrahim}",

year = "2012",

language = "English",

volume = "28",

pages = "175--190",

journal = "Tamsui Oxford Journal of Information and Mathematical Sciences",

issn = "2222-4424",

publisher = "Aletheia University",

number = "2",

}

TY - JOUR

T1 - The efficiency of stratified quartile ranked set sampling in estimating the population mean

AU - Syam, Mahmoud Ibrahim

AU - Ibrahim, Kamarulzaman

AU - Al-Omari, Amer Ibrahim

PY - 2012

Y1 - 2012

N2 - In this paper, new modified ranked set sampling method is suggested for estimating the population mean, namely, stratified quartile ranked set sampling (SQRSS). The SQRSS is compared with simple random sampling (SRS), stratified simple random sampling (SSRS) and stratified ranked set sampling (SRSS) methods. It is found that the SQRSS estimators are unbiased of the population mean of symmetric distributions. Also, it turns out that the SQRSS is more efficient than its counterparts using SRS, SSRS and SRSS based on the same number of measured units.

AB - In this paper, new modified ranked set sampling method is suggested for estimating the population mean, namely, stratified quartile ranked set sampling (SQRSS). The SQRSS is compared with simple random sampling (SRS), stratified simple random sampling (SSRS) and stratified ranked set sampling (SRSS) methods. It is found that the SQRSS estimators are unbiased of the population mean of symmetric distributions. Also, it turns out that the SQRSS is more efficient than its counterparts using SRS, SSRS and SRSS based on the same number of measured units.

KW - Quartile ranked set sampling

KW - Ranked set sampling

KW - Simple random sampling

KW - Stratified ranked set sampling

UR - http://www.scopus.com/inward/record.url?scp=84875273149&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84875273149&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:84875273149

SN - 2222-4424

VL - 28

SP - 175

EP - 190

JO - Tamsui Oxford Journal of Information and Mathematical Sciences

JF - Tamsui Oxford Journal of Information and Mathematical Sciences

IS - 2

ER -

The efficiency of stratified quartile ranked set sampling in estimating the population mean

Abstract

Keywords

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this