Rayleigh distribution revisited via ranked set sampling

Sanku Dey (), Mahdi Salehi () and Jafar Ahmadi ()
Additional contact information
Sanku Dey: St. Anthony’s College
Mahdi Salehi: University of Neyshabur
Jafar Ahmadi: Ferdowsi University of Mashhad

METRON, 2017, vol. 75, issue 1, No 5, 69-85

Abstract: Abstract This paper addresses the estimation of the parameter of Rayleigh distribution using different methods of frequentist and Bayesian estimation approaches based on different sampling schemes namely, simple random sample, ranked set sample, modified ranked set sample and median ranked set sample. Comparison between estimators is made through simulation via their biases, relative efficiency, and Pitman measures of closeness criteria under both perfect and imperfect ranking. The performance of the estimators based on ranked set sample and median ranked set sample are better than the other estimators based on simple random sample and also modified ranked set sample.

Keywords: Median ranked set sampling; Modified ranked set sampling; Ranked set sampling; Simple random sampling; Rayleigh distribution; 62C10; 62F07 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s40300-016-0099-2 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:metron:v:75:y:2017:i:1:d:10.1007_s40300-016-0099-2

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/40300

DOI: 10.1007/s40300-016-0099-2

Access Statistics for this article

METRON is currently edited by Marco Alfo'

More articles in METRON from Springer, Sapienza Università di Roma
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().