A Maximum Likelihood Mixture Approach for Multivariate Hypothesis Testing in case of Incomplete Data
A Maximum Likelihood Mixture Approach for Multivariate Hypothesis Testing in case of Incomplete Data
Multivariate hypothesis testing becomes more and more necessary when data is in the process of changing from scalar and univariate format to multivariate format, especially financial and biological data is often constituted of n-dimension vectors. Likelihood ratio test is the best method that applies the test on mean of multivariate …