Quartile ranked set sampling for estimating the distribution function - Egyptian Knowledge Bank

387226

Quartile ranked set sampling for estimating the distribution function

Article

Last updated: 31 Dec 2024

Subjects

Abstract

Quartile ranked set sampling (QRSS) method is suggested by Muttlak (2003) for estimat-
ing the population mean. In this article, the QRSS procedure is considered to estimate the distribu-
tion function of a random variable. The proposed QRSS estimator is compared with its counterparts
based on simple random sampling (SRS) and ranked set sampling (RSS) schemes. It is found that the
suggested estimator of the distribution function of a random variable X for a given x is biased and
more efficient than its competitors using SRS and RSS

DOI

10.1016/j.joems.2015.01.006

Keywords

distribution function, Quartile ranked set sampling, Simple random sampling, Ranked set sampling, relative efficiency

Authors

View Authors

First Name

Amer

Last Name

Al-Omari

MiddleName

Ibrahim

Affiliation

Al al-Bayt University, Faculty of Science, Department of Mathematics, Mafraq, Jordan

Email

City

Orcid

Volume

Article Issue

Related Issue

51062

Issue Date

2016-06-01

Receive Date

2024-10-20

Publish Date

2016-06-01

Page Start

303

Page End

308

Print ISSN

1110-256X

Online ISSN

2090-9128

Article File

JOEMS_Volume 24_Issue 2_Pages 303-308.pdf

PDF . 350.3kB

Link

https://joems.journals.ekb.eg/article_387226.html

Detail API

https://joems.journals.ekb.eg/service?article_code=387226

Order

387,226

Publication Type

Journal

Publication Title

Journal of the Egyptian Mathematical Society

Publication Link

https://joems.journals.ekb.eg/

MainTitle