Maximum Likelihood Characterization of Distributions
Maximum Likelihood Characterization of Distributions
1. Introduction. It is a commonplace observation that the sample mean and sample variance from a normal population (based on a random sample) are stochastically independent. Considerably less prosaic is the converse proposition, first proved in 1936 by R. C. Geary [2] (under superfluous restrictions), to the effect that the …