# Testing Equivalence of Multinomial Distributions

@article{Ostrovski2016TestingEO, title={Testing Equivalence of Multinomial Distributions}, author={Vladimir Ostrovski}, journal={Behavioral \& Experimental Accounting eJournal}, year={2016} }

We introduce the smooth total variation distance as a natural choice to establish equivalence. We propose asymptotic and bootstrap-based tests for which asymptotic optimality is shown. The finite sample performance is studied by simulations. Then we apply tests to real data sets.

## 2 Citations

Testing Equivalence to Families of Multinomial Distributions with Application to the Independence Model

- MathematicsStatistics & Probability Letters
- 2018

New Equivalence Tests for Approximate Independence in Contingency Tables

- MathematicsStats
- 2019

We introduce new equivalence tests for approximate independence in two-way contingency tables. The critical values are calculated asymptotically. The finite sample performance of the tests is…

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