| | |  |  |  |  | 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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