On second-order admissibilities of the estimators of gamma shape vector
Eita Kamitamari and
Hidekazu Tanaka
Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 1, 485-496
Abstract:
Simultaneous estimation problem of gamma shape vector is considered.First, it is shown that the maximum likelihood estimator (MLE), the bias corrected MLE, and the conditional MLE of shape vector are second-order inadmissible. Second, these estimators are improved up to the second order. Finally, we identify whether these improved estimators are second-order admissible or not. Simulation studies are also given.
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2014.997359 (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:46:y:2017:i:1:p:485-496
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2014.997359
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 ().