Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Nonparametric Tests for Multiple Endpoints with Grouped ObservationsNonparametric Tests for Multiple Endpoints with Grouped Observations

Other Titles
Nonparametric Tests for Multiple Endpoints with Grouped Observations
Authors
박효일홍승만
Issue Date
2008
Publisher
한국자료분석학회
Keywords
Grouped data; Linear rank statistic; Multivariate data; Nonparametric test; Permutation principle; Grouped data; Linear rank statistic; Multivariate data; Nonparametric test; Permutation principle
Citation
Journal of The Korean Data Analysis Society, v.10, no.1, pp.75 - 86
Indexed
KCI
Journal Title
Journal of The Korean Data Analysis Society
Volume
10
Number
1
Start Page
75
End Page
86
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/124878
ISSN
1229-2354
Abstract
In this paper, we consider a nonparametric test procedure for the multiple endpoints with grouped data under two sample problem setting. For the construction of the test statistic, we use the linear rank statistics which were derived based on the likelihood ratio principle for each component. Then the asymptotic distribution of the test statistic is derived under the null hypothesis. Finally, we illustrate our test procedure with an example and discuss some concluding remarks.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Public Policy > Division of Big Data Science > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE