Testing equivalence of multinomial distributions -- a constrained bootstrap approach
Statistics Theory
2023-05-16 v1 Statistics Theory
Abstract
In this paper we develop a novel bootstrap test for the comparison of two multinomial distributions. The two distributions are called {\it equivalent} or {\it similar} if a norm of the difference between the class probabilities is smaller than a given threshold. In contrast to most of the literature our approach does not require differentiability of the norm and is in particular applicable for the maximum- and -norm.
Cite
@article{arxiv.2305.08609,
title = {Testing equivalence of multinomial distributions -- a constrained bootstrap approach},
author = {Patrick Bastian and Holger Dette and Lukas Koletzko},
journal= {arXiv preprint arXiv:2305.08609},
year = {2023}
}