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We present a method for selecting the parameters of a finite-state Markov chain to match slow fading channels that are characterized by the Nakagami-m family of probability distributions. Markov chain models are very valuable tools in the analysis and simulation of protocols, systems, and networks. The Nakagami fading parameter m and the correlation parameter for the fade levels experienced by consecutive symbols or packets can be adjusted to match anticipated propagation conditions or experimental data. These parameters can also be varied to test the sensitivity of a protocol or system to changes in the characteristics of the fading on a tactical communications link. Applications to the evaluation of adaptive transmission protocols are described.