A two sample quantile test with applications to randomized block designs

Songyong Sim, Seongbum Kim, Gilju Park and Jaesoon Park

Statistics & Probability Letters, 2003, vol. 61, issue 4, 439-445

Abstract: In this article, we consider a rank test for a randomized block design based on the quantile score. The scores are appropriate in those cases when only a small proportion of the observations from each treatment group shows very high response values or when the response is dichotomous. We determine the asymptotic distributions of the proposed test statistic and the Pitman relative efficiency. A simulation study is performed for small samples.

Keywords: Rank; tests; Quantile; score (search for similar items in EconPapers)
Date: 2003
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(02)00419-4
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:61:y:2003:i:4:p:439-445

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 ().