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The coefficient of variation (CV) matrix for a p-dimensional random vector is the covariance matrix scaled by the p-vector of means such that the diagonal components are the squared coefficients of variation. In this article, principal component models for the CV matrix are proposed and least-squares estimators of the eigenvalues and eigenvectors are developed. The asymptotic joint distribution of...
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