Testing homogeneity of multivariate normal mean vectors under an order restriction when the covariance matrices are common but unknown
成果类型:
Article
署名作者:
Sasabuchi, S; Tanaka, K; Tsukamoto, T
署名单位:
Kyushu University; Hitachi Limited
刊物名称:
ANNALS OF STATISTICS
ISSN/ISSBN:
0090-5364
发表日期:
2003
页码:
1517-1536
关键词:
isotonic regression
摘要:
Suppose that an order restriction is imposed among several p-variate normal mean vectors. We are interested in testing the homogeneity of these mean vectors under this restriction. This problem is a multivariate extension of Bartholomew's [Biometrika 46 (1959) 36-48]. When the covariance matrices are known, this problem has been studied by Sasabuchi, Inutsuka and Kulatunga [Hiroshima Math. J 22 (1992) 551-560], Sasabuchi, Kulatunga and Saito [Amer. J Math. Management Sci. 18 (1998) 131-158] and some others. In the present paper, we consider the case when the covariance matrices are common but unknown. We propose a test statistic, study its upper tail probability under the null hypothesis and estimate its critical points.