A test for comparing distribution functions with strongly unbalanced samples

Piotr Kulcziycki
The paper presents a non-parametric test of significance regarding the equality of the distribution functions of two independent n-dimensional random variables, on the basis of samples, one of which is one-element. Kernel estimators and order statistics have been used to solve this problem. A fully elaborated procedure is provided for numerical computations.