Nonparametric Tests for Multiple Endpoints with Grouped Observations

• 발행기관: 한국자료분석학회
• 저자명: 박효일(Hyo-Il Park) 홍승만(Seungman Hong)
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.10 No.1, 75~86쪽, 전체 12쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2008.02.28

영문 초록

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.

목차

1. Introduction

2. Multivariate nonparametric test for grouped data

3. An example

4. Some concluding remarks

References

키워드

Grouped data Linear rank statistic Multivariate data Nonparametric test Permutation principle