| 書目名稱 | Response Models for Detection of Change | | 編輯 | Amnon Rapoport,William E. Stein,Graham J. Burkheim | | 視頻video | http://file.papertrans.cn/829/828690/828690.mp4 | | 叢書名稱 | Theory and Decision Library | | 圖書封面 |  | | 描述 | 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 exp | | 出版日期 | Book 1979 | | 關(guān)鍵詞 | decision theory; evaluation; experiment; information; nature; research; state; statistics | | 版次 | 1 | | doi | https://doi.org/10.1007/978-94-009-9386-0 | | isbn_softcover | 978-94-009-9388-4 | | isbn_ebook | 978-94-009-9386-0 | | copyright | Springer Science+Business Media Dordrecht 1979 |
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