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• W2023873729 abstract "Considered in this paper is a discrete-time Markov decision process with unobservable states, which occurs in equipment checking, medical diagnosis, signal detection, and reaction time studies. The process is characterized by (i) a state S0 that at some unknown time t, which is determined probabilistically, turns into an absorbing state S1; (ii) observations that provide fallible information about the true state and which are taken sequentially to determine whether or not the change from S0 to S1 has occurred; and (iii) losses for a false alarm and for delays in detecting the change. A response model is proposed, prescribing a terminal decision as soon as the posterior probability that S1 obtains reaches or exceeds a fixed probability boundary. Predictions are derived concerning the probability of false alarm and several conditional distributions of the number of observations taken." @default.
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• W2023873729 date "1978-04-01" @default.
• W2023873729 modified "2023-10-18" @default.
• W2023873729 title "A discrete time model for detection of randomly presented stimuli" @default.
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• W2023873729 doi "https://doi.org/10.1016/0022-2496(78)90026-3" @default.
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