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Abstract

This chapter concerns discrete-time Markov chains defined on a finite or denumerably infinite state space N. The Markov chains under consideration are assumed to be homogeneous. We assume without loss of generality that the state space consists of nonnegative integers N = ā€›0,1,...,Nā€, where N < āˆž or N = āˆž.

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Ā© 1997 M. Kijima

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Kijima, M. (1997). Discrete-time Markov chains. In: Markov Processes for Stochastic Modeling. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-3132-0_2

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  • DOI: https://doi.org/10.1007/978-1-4899-3132-0_2

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-412-60660-1

  • Online ISBN: 978-1-4899-3132-0

  • eBook Packages: Springer Book Archive

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