EconPapers    
Economics at your fingertips  
 

Equivalence between Bayes and the maximum likelihood estimator in M/M/1 queue

Saroja Kumar Singh and Sarat Kumar Acharya

Communications in Statistics - Theory and Methods, 2019, vol. 48, issue 19, 4780-4793

Abstract: Let θ be the unknown parameter for the arrival process in a single M/M/1 queue. The paper discusses the bound for the equivalence of Bayes and maximum likelihood estimator for the parameter θ. Also the bound on the difference of Bayes estimator from its true value is found out.

Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2018.1481971 (text/html)
Access to full text is restricted to subscribers.

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:taf:lstaxx:v:48:y:2019:i:19:p:4780-4793

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2018.1481971

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:lstaxx:v:48:y:2019:i:19:p:4780-4793