Pardo Llorente, María del Carmen2023-06-202023-06-201998-030020-025510.1016/S0020-0255(97)10028-7https://hdl.handle.net/20.500.14352/57829This work was supported by grant DGICYT PB96-0635Goodness-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.engjournal articlehttp://www.sciencedirect.com/science/article/pii/S0020025597100287http://www.sciencedirect.com/restricted access519.216Goodness-of-fit testsMarkov chainRao's divergenceMost powerful testProcesos estocásticos1208.08 Procesos Estocásticos