Asymptotic properties of maximum likelihood estimators from single server queues: A martingale approach
Sarat Kumar Acharya and
Saroja Kumar Singh
Communications in Statistics - Theory and Methods, 2019, vol. 48, issue 14, 3549-3557
Abstract:
Problems of large sample estimation for the parameters in a single server queueing set up are discussed. The queueing system is observed over a continuous time interval (0,T] , where T is determined by a suitable stopping rule. The asymptotic properties of the maximum likelihood estimator from single server queues are studied using the martingale technique. An example with simulation study is given to illustrate the results.
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2018.1477958 (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:14:p:3549-3557
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2018.1477958
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 ().