Theorems for a finite sequence from a two-state, first-order markov chain with stationary transition probabilities
Various theorems are obtained forN-trial sample sequences from the general two-state, first-order Markov chain with stationary transition probabilities. Four lemmas which facilitate the derivations are given. A brief discussion of applications to binary data, estimation, and evaluation is given, including a maximum-likelihood procedure for estimating transition probabilities which are restricted by inequalities.
KeywordsStationary Transition Markov Chain Public Policy Statistical Theory Binary Data
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