Asymptotic minimaxity of chi-square tests

Abstract

We show that the sequence of chi-square tests is asymptotically minimax if a number of cells increases with increasing sample size. The proof utilizes Theorem about asymptotic normality of chi-square test statistics obtained under new compact assumptions

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