Relative estimates of combination weights, decision criteria, and internal noise based on correlation coefficients.
Relative estimates of combination weights, decision criteria, and internal noise based on correlation coefficients.
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基于相关系数的组合权重、决策标准和内部噪声的相对估计。
DOI：
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发表时间：
1994
影响因子：
2.4
通讯作者：
S. Zhu
中科院分区：
文献类型：
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作者：
V. Richards;S. Zhu
本文描述了信号检测模型的一种确定相对组合权重的方法，其中决策变量是几个独立的、正态分布的随机变量Xi的加权线性组合。第一个定理表示二元响应变量（信号与无信号）与分量Xi之间的相关性。第二个定理对存在加性内部噪声的情况给出了一个平行的结果。因此，在心理物理实验中，可以通过将观察者的反应与输入的随机变量相关联来获得相对组合权值。第三，考虑了三种数值方法，它们允许评估决策准则的相对大小和假设的加性内部噪声的方差。
A means by which relative combination weights may be determined is described for a signal detection model in which the decision variable is a weighted linear combination of several independent, normally distributed random variables, Xi's. The first theorem presents the correlation between the binary response variables--signal versus no signal--and the component Xi. The second theorem presents a parallel result for the case that additive internal noise is present. Thus in psychophysical experiments, the relative combination weights may be obtained by correlating the observers' responses and the input random variables. Third, three numerical methods which allow the evaluation of the relative magnitude of the decision criterion and the variance of a hypothetical additive internal noise are considered.