A test for comparing distribution functions with strongly unbalanced samples
AbstractThe 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.
How to Cite
Kulcziycki, P. (2002). A test for comparing distribution functions with strongly unbalanced samples. Statistica, 62(1), 39–49. https://doi.org/10.6092/issn.1973-2201/389