On selecting the best natural exponential families with quadratic variance function
Mansour M. Abughalous and
Naveen K. Bansal
Statistics & Probability Letters, 1995, vol. 25, issue 4, 341-349
Abstract:
We consider a problem of selecting a best of k one parameter exponential families with quadratic variance functions which is associated with the largest mean. It is shown that the minimax value under the "0-1" loss function is 1 - 1/k. Also the Bayes rules are discussed under the "0-1" loss and the other loss functions.
Keywords: Natural; exponential; families; with; quadratic; variance; function; Minimax; value; Bayes; selection; rules; Selection (search for similar items in EconPapers)
Date: 1995
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(94)00239-7
Full text for ScienceDirect subscribers only
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:eee:stapro:v:25:y:1995:i:4:p:341-349
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().