Testing equivalence of multinomial distributions

Vladimir Ostrovski

Statistics & Probability Letters, 2017, vol. 124, issue C, 77-82

Abstract: 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.

Keywords: Equivalence; Testing; Multinomial; Bootstrap; Optimality; Benford’s Law (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (5)

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DOI: 10.1016/j.spl.2017.01.004

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