A bound for higher moments of expected sample size in sequential testing
A. Irle
Statistics & Probability Letters, 1997, vol. 35, issue 2, 135-140
Abstract:
The problem of sequentially testing two simple hypotheses is considered for i.i.d. observations. We give explicit lower bounds for the kth moments of the expected sample size for a sequential test with error probabilities [alpha] and [beta]. These bounds give the optimal asymptotic rate as [alpha], [beta] --> 0.
Keywords: Sequential; test; Expected; sample; size; Moments (search for similar items in EconPapers)
Date: 1997
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(97)00006-0
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:35:y:1997:i:2:p:135-140
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 ().