Methodological analysis demonstrates direct maximum likelihood parameter estimation in yes-no detection tasks, indicating normal distributions can replace logistic approximations.
Ogilvie and Creelman have recently attempted to develop maximum likelihood estimates of the parameters of signal-detection theory from the data of yes-no ROC curves. Their method involved the assumption of a logistic distribution rather than the normal distribution in order to make the mathematics more tractable. The present paper presents a method of obtaining maximum likelihood estimates of these parameters using the assumption of underlying normal distributions.
No takes yet. Share an insight, caveat, or question.
Dorfman et al. (1968) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: