Nonparametric Tests for Testing Equality of Location Parameters of Two Multivariate Distributions
收藏DataCite Commons2020-09-18 更新2025-04-16 收录
下载链接：
http://siba-ese.unisalento.it/index.php/ejasa/article/view/15869/14089
下载链接
链接失效反馈官方服务：
资源简介：
In this paper, we have proposed two nonparametric tests for testing equality of location parameters of two multivariate distributions based on thenotion of data depth. The proposed tests are extensions of the M-basedtest due to Li and Liu (2004). The performance of proposed tests has beenassessed for symmetric as well as skewed multivariate distributions by simulation experiments. The tests have better performance in terms of poweras compared to the M-based test and some of their competitors. The use oftests is illustrated with body dimension data due to Heinz et al.(2003).
提供机构：
University of Salento
创建时间：
2017-04-27
