Article ID Journal Published Year Pages File Type
1145724 Journal of Multivariate Analysis 2014 18 Pages PDF
Abstract

When we consider a statistical test in the high dimensional case, we often need estimators of the functions of the covariance matrix ΣΣ. Especially, it is needed to estimate a2=(1/p)trΣ2a2=(1/p)trΣ2. The unbiased and consistent estimator of a2a2 is proposed in preceding study when the population distribution is multivariate normal. But it is difficult to estimate in the non-normal case. So we propose the unbiased and consistent estimators for some functions of covariance matrix including a2a2 under the non-normal case. Through the numerical simulation, we confirmed the accuracy of the approximation of our proposed estimators. Using proposed estimators, we proposed a test for assessing multivariate normality of the high-dimensional data.

Related Topics
Physical Sciences and Engineering Mathematics Numerical Analysis
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