ML Characterization of the Multivariate Normal Distribution
It is a well-known result (which can be traced back to Gauss) that the only translation family of probability densities on for which the arithmetic mean is a maximum likelihood estimate of the translation parameter originates from the normal density. We generalize this characterization of the normal density to multivariate translation families.