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Response Models for Detection of Change: 18 (Theory and Decision Library) - Hardcover

 
9789027709349: Response Models for Detection of Change: 18 (Theory and Decision Library)

Inhaltsangabe

This book reports our research on detection of change processes that underlie psychophysical, learning, medical diagnosis, military, and pro­ duction control situations, and share three major features. First, the states of the process are not directly observable but become gradually known with the sequential acquisition of fallible information over time. Second, the mechanism that generates the fallible information is not stationary; rather, it is subjected to a sudden and irrevocable change. Thirdly, in­ complete, probabilistic information about the time of change is available when the process commences. The purpose of the book is to characterize this class of detection of change processes, to derive the optimal policy that minimizes total expected loss, and, most importantly, to develop testable response models, based on simple decision rules, for describing detection of change behavior. The book is theoretical in the sense that it offers mathematical models of multi-stage decision behavior and solutions to optimization problems. However, it is not anti-empirical, as it aims to stimulate new experimental research and to generate applications. Throughout the book, questions of experimental verification are briefly considered, and existing data from two studies are brought to bear on the validity of the models. The work is not complete; it only provides a starting point for investigating how people detect a change in an uncertain environment, balancing between the cost of delay in detecting the change and the cost of making an incor­ rect terminal decision.

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This book reports our research on detection of change processes that underlie psychophysical, learning, medical diagnosis, military, and pro­ duction control situations, and share three major features. First, the states of the process are not directly observable but become gradually known with the sequential acquisition of fallible information over time. Second, the mechanism that generates the fallible information is not stationary; rather, it is subjected to a sudden and irrevocable change. Thirdly, in­ complete, probabilistic information about the time of change is available when the process commences. The purpose of the book is to characterize this class of detection of change processes, to derive the optimal policy that minimizes total expected loss, and, most importantly, to develop testable response models, based on simple decision rules, for describing detection of change behavior. The book is theoretical in the sense that it offers mathematical models of multi-stage decision behavior and solutions to optimization problems. However, it is not anti-empirical, as it aims to stimulate new experimental research and to generate applications. Throughout the book, questions of experimental verification are briefly considered, and existing data from two studies are brought to bear on the validity of the models. The work is not complete; it only provides a starting point for investigating how people detect a change in an uncertain environment, balancing between the cost of delay in detecting the change and the cost of making an incor­ rect terminal decision.

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9789400993884: Response Models for Detection of Change: 18 (Theory and Decision Library)

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ISBN 10:  9400993889 ISBN 13:  9789400993884
Verlag: Springer, 2013
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Rapoport, Amos; W. Stein & G. Burkheimer (eds.)
Verlag: Springer, 1979
ISBN 10: 9027709343 ISBN 13: 9789027709349
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Zustand: good. Dordrecht: D. Reidel,1979. Orig. cloth binding. 210 pp. (Theory and Decision Library, 18). Ticket on spine. Library stamps. Condition : good copy. ISBN 9789027709349. Keywords : , Artikel-Nr. 133060

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