DeCarlo Lawrence T
Department of Human Development, Teachers College, Columbia University, New York, New York 10027, USA.
Psychol Rev. 2002 Oct;109(4):710-21. doi: 10.1037/0033-295x.109.4.710.
An extension of signal detection theory (SDT) that incorporates mixtures of the underlying distributions is presented. The mixtures can be motivated by the idea that a presentation of a signal shifts the location of an underlying distribution only if the observer is attending to the signal; otherwise, the distribution is not shifted or is only partially shifted. Thus, trials with a signal presentation consist of a mixture of 2 (or more) latent classes of trials. Mixture SDT provides a general theoretical framework that offers a new perspective on a number of findings. For example, mixture SDT offers an alternative to the unequal variance signal detection model; it can also account for nonlinear normal receiver operating characteristic curves, as found in recent research.
本文提出了信号检测理论（SDT）的一种扩展，该扩展纳入了潜在分布的混合情况。这种混合可以由以下观点引发：只有当观察者关注信号时，信号的呈现才会使潜在分布的位置发生偏移；否则，分布不会偏移或只会部分偏移。因此，有信号呈现的试验由2个（或更多）潜在试验类别混合而成。混合信号检测理论提供了一个通用的理论框架，为许多研究结果提供了新的视角。例如，混合信号检测理论为不等方差信号检测模型提供了一种替代方案；它还可以解释近期研究中发现的非线性正态接收者操作特征曲线。
