On testing the equality of high dimensional mean vectors with unequal covariance matrices

Jiang Hu, Zhidong Bai, Chen Wang, Wei Wang

Type: Preprint

Publication Date: 2014-01-01

Citations: 5

DOI: https://doi.org/10.48550/arxiv.1406.6569

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+	Testing the equality of several covariance matrices with fewer observations than the dimension	2010	Muni S. Srivastava Hirokazu Yanagihara
+ PDF Chat	Multivariate Theory for Analyzing High Dimensional Data	2007	Muni S. Srivastava
+	A test for the mean vector with fewer observations than the dimension under non-normality	2008	Muni S. Srivastava
+	Multivariate analysis of variance with fewer observations than the dimension	2006	Muni S. Srivastava Yasunori Fujikoshi
+	Some tests for the covariance matrix with fewer observations than the dimension under non-normality	2011	Muni S. Srivastava Tõnu Kollo Dietrich von Rosen
+ PDF Chat	Asymptotic Results of a High Dimensional MANOVA Test and Power Comparison When the Dimension is Large Compared to the Sample Size	2004	Yasunori Fujikoshi Tetsuto Himeno Hirofumi Wakaki
+ PDF Chat	Tests for multivariate analysis of variance in high dimension under non-normality	2012	Muni S. Srivastava Tatsuya Kubokawa
+	Some high-dimensional tests for a one-way MANOVA	2007	James R. Schott
+	A two sample test in high dimensional data	2012	Muni S. Srivastava Shota Katayama Yutaka Kano
+	High-dimensional sparse MANOVA	2014	Tommaso Cai Xia Yin