Detection Theory is an introduction to one of the most important tools for analysis of data where choices must be made and performance is not perfect. Originally developed for evaluation of electronic detection, detection theory was adopted by psychologists as a way to understand sensory decision making, then embraced by students of human memory. It has since been utilized in areas as diverse as animal behavior and X-ray diagnosis. This book covers the basic principles of detection theory, with separate initial chapters on measuring detection and evaluating decision criteria. Some other features include: *complete tools for application, including flowcharts, tables, pointers, and software; *student-friendly language; *complete coverage of content area, including both one-dimensional and multidimensional models; *separate, systematic coverage of sensitivity and response bias measurement; *integrated treatment of threshold and nonparametric approaches; *an organized, tutorial level introduction to multidimensional detection theory; *popular discrimination paradigms presented as applications of multidimensional detection theory; and *a new chapter on ideal observers and an updated chapter on adaptive threshold measurement. This up-to-date summary of signal detection theory is both a self-contained reference work for users and a readable text for graduate students and other researchers learning the material either in courses or on their own.
具體描述
讀後感
評分
評分
評分
評分
用戶評價
信號檢測論必備參考
评分讀不懂
评分讀不懂
评分介紹的很全麵，從one dimension 到復雜的任務都有涉及。花瞭好幾天讀完但發現有可能用不到d'。。。裏麵還提到瞭 flatland, shelden 不是說自己是五邊形麼。。
评分介紹的很全麵，從one dimension 到復雜的任務都有涉及。花瞭好幾天讀完但發現有可能用不到d'。。。裏麵還提到瞭 flatland, shelden 不是說自己是五邊形麼。。
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