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Testing a markov chain for independence
Authors:Dong qian Wang  David J Scott
Institution:1. Department of Statistics , La Trobe University , Bundoora, Vic, 3083, Australia;2. School of Information and Computing Sciences , Bond University , Gold Coast, Qld, 4217, Australia
Abstract:A bootstrap procedure is proposed for testing whether an observed Markov chain is actually an independent process, based on the observed transition probability matrix. The results of simulations showing the power and size of the bootstrap test are presented. The asymptotic distribution of the non-unit eigenvalues is given under the null hypothesis.
Keywords:Markov chain  bootstrap test  simulation  asymptotic distribution  power  chi-square test
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