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Testing hypothesis of equality covariance matrix has been studied by researchers,either data or engaged in health economics.The usual method is the likeliho
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Testing hypothesis of equality covariance matrix has been studied by researchers,either data or engaged in health economics.The usual method is the likelihood ratio and Wald statistics.The basic theory used includes determinants,and the inverse of the covariance matrix.In practice,when the number of variables involved is large enough,it turns out to cause problems.Problems encountered related to the value of the inverse covariance matrix are not positive definite or difficulty calculation of the inverse matrix is large.Some researchers were been to avoid the calculation of the inverse of a matrix by utilizing generalized inverse vector and variance.In this paper,we will propose variance vector without duplication.It will be used in testing the hypothesis matrix between the two populations.
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