A Nonparametric Test Procedure for Multivariate Censored Data

• 발행기관: 한국자료분석학회
• 저자명: 박효일(Hyo-Il Park)
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.9 No.4, 1589~1599쪽, 전체 11쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2007.08.30

영문 초록

In this paper, we consider a nonparametric test procedure for comparing two distribution functions based on the multivariate, grouped and right censored data under the 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 with an example and discuss some concluding remarks. In appendix, we derive the expression of the covariance.

목차

1. Introduction

2. Multivariate tests for grouped and right censored data

3. An example and concluding remarks

References

키워드

Grouped and right censored data Liner rank statistic Multivariate data Nonparametric test