| | | Edition | | | Orig. Ed 1967, Reprint Ed. 1975 | | Description | |
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| Combines Bayesian decision theory and the
theory of Markov chains by establishing a theoretical structure for Markov chains in which the transition probabilities are uncertain. Both sequential sampling and fixed development are largely theoretical. Problems of numerical computation are treated as they arise. |
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