Editing Detection theory (section)

===Normal distribution models===

Das and Geisler <ref name="Das">{{cite journal |last1=Das|first1=Abhranil|last2=Geisler|first2=Wilson|arxiv=2012.14331|title=A method to integrate and classify normal distributions|journal=Journal of Vision |year=2021 |volume=21 |issue=10 |page=1 |doi=10.1167/jov.21.10.1 |pmid=34468706 |pmc=8419883 }}</ref> extended the results of signal detection theory for normally distributed stimuli, and derived methods of computing the error rate and [[confusion matrix]] for [[Ideal observer analysis|ideal observers]] and non-ideal observers for detecting and categorizing univariate and multivariate normal signals from two or more categories.