On asymptotic minimaxity of rank tests

M. S. Ermakov

Statistics & Probability Letters, 1992, vol. 15, issue 3, 191-196

Abstract: An asymptotic lower bound for the minimax hypothesis testing about functional values is indicated. The natural problem of such a type is formulated for rank tests and asymptotic minimaxity of this tests is proved.

Keywords: Rank; tests; asymptotic; minimaxity; hypothesis; testing; about; functional; value; efficiency (search for similar items in EconPapers)
Date: 1992
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(92)90188-B
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:15:y:1992:i:3:p:191-196

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 ().