| | | Edition | | | Orig. Ed 1967, Reprint Ed. 1975 | | Description | |
| |
| 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. |
| |