Abstract
Goodness-of-fit tests based on Rao's divergence between observed and theoretical frequencies for stationary distributions of Markov chains are considered. The asymptotic distribution of these tests under uniform hypothesis is obtained. A power comparison of the proposed tests is carried out in the case of binary Markov data.
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