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arXiv · 2305.08609

Testing equivalence of multinomial distributions -- a constrained bootstrap approach

Patrick Bastian·Holger Dette·Lukas Koletzko
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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 $L^1$-norm.

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Patrick Bastian, Holger Dette, Lukas Koletzko. 2023-05-15. Testing equivalence of multinomial distributions -- a constrained bootstrap approach. https://arxiv.org/abs/2305.08609

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