A test for comparing distribution functions with strongly unbalanced samples

Authors

  • Piotr Kulcziycki Polish Academy of Science, Warsaw

DOI:

https://doi.org/10.6092/issn.1973-2201/389

Abstract

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.

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Published

2007-10-22

How to Cite

Kulcziycki, P. (2007). A test for comparing distribution functions with strongly unbalanced samples. Statistica, 62(1), 39–49. https://doi.org/10.6092/issn.1973-2201/389

Issue

Vol. 62 No. 1 (2002)

Section

Articles

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Copyright (c) 2002 Statistica

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