EconPapers    
Economics at your fingertips  
 

Comparison Between Dependent and Independent Ranked Set Sampling Designs for Parametric Estimation with Applications

M. Shaaban () and M. Yahya
Additional contact information
M. Shaaban: The High Institute for Tourism Hotels and Computer
M. Yahya: Modern Academy for Computer Science and Management Technology

Annals of Data Science, 2023, vol. 10, issue 1, No 8, 167-182

Abstract: Abstract This paper is concerned with the estimation problem using maximum likelihood method of estimation for the unknown parameters of exponetiated gumbel distribution based on neoteric ranked set sampling (NRSS) as a new modification of the usual ranked set sampling (RSS) technique. Numerical study is conducted to compare NRSS as a dependent ranked set sampling technique, with RSS, and median ranked set sampling as independent sampling techniques, and then the performance of RSS and its modifications will be compared with simple random sampling based on their mean square errors and efficiencies.

Keywords: Neoteric ranked set sampling; Median ranked set sampling; Ranked set sampling; Maximum likelihood estimation (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s40745-020-00302-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:aodasc:v:10:y:2023:i:1:d:10.1007_s40745-020-00302-z

Ordering information: This journal article can be ordered from
https://www.springer ... gement/journal/40745

DOI: 10.1007/s40745-020-00302-z

Access Statistics for this article

Annals of Data Science is currently edited by Yong Shi

More articles in Annals of Data Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:aodasc:v:10:y:2023:i:1:d:10.1007_s40745-020-00302-z