Estimation of multivariate 3rd moment for high-dimensional data and its application for testing multivariate normality
From MaRDI portal
Publication:2418080
DOI10.1007/s00180-018-00865-9zbMath1417.62154OpenAlexW2913095039WikidataQ128520936 ScholiaQ128520936MaRDI QIDQ2418080
Takayuki Yamada, Tetsuto Himeno
Publication date: 3 June 2019
Published in: Computational Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00180-018-00865-9
Computational methods for problems pertaining to statistics (62-08) Hypothesis testing in multivariate analysis (62H15)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Tests for multivariate normality based on canonical correlations
- Tests of multinormality based on location vectors and scatter matrices
- A graphical method for assessing multivariate normality
- Estimation of the precision matrix of a singular Wishart distribution and its application in high-dimensional data
- Invariant tests for multivariate normality: A critical review
- Estimations for some functions of covariance matrix in high dimension under non-normality and its applications
- Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
- A Test for Normality of Observations and Regression Residuals
- An Appraisal and Bibliography of Tests for Multivariate Normality
- Using principal components to test normality of high-dimensional data
- Tests for High-Dimensional Covariance Matrices
- Assessing Normality of High-Dimensional Data
- Measures of multivariate skewness and kurtosis with applications
- Multivariate Statistics
This page was built for publication: Estimation of multivariate 3rd moment for high-dimensional data and its application for testing multivariate normality