Comparison of a Standard Gaussian Random Variable with a Steady Random Variable Having an Infinite Variance

摘要

It is shown that, using a finite sample, it is impossible to discriminate with a given probability of error between a random variable having an infinite variance and a standard Gaussian random variable. An exam- ple is given that illustrates the inconsistency of data processing algorithms in the case when the Gaussian model is erroneously chosen.