Characterizations of normal distributions and empirical distribution function goodness-of-fit tests

Two characterizations of a normal distribution with an unknown variance based on the corresponding uniformly minimum variance and unbiased estimators of the density functions are given, depending on whether its mean is known, or unknown. Applications of these characterization results in the procedures to construct empirical distribution function (EDF) goodness-of-fit tests for normal distributions are mentioned.