Assessing the accuracy of estimates of the likelihood ratio

Eric Clarkson, Matthew A. Kupinski, John W. Hoppin

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


There are many methods to estimate, from ensembles of signal-present and signal-absent images, the area under the receiver operating characteristic curve for an observer in a detection task. For the ideal observer on realistic detection tasks, all of these methods are time consuming due to the difficulty in calculating the ideal-observer test statistic. There are relations, in the form of equations and inequalities, that can be used to check these estimates by comparing them to other quantities that can also be estimated from the ensembles. This is especially useful for evaluating these estimates for any possible bias due to small sample sizes or errors in the calculation of the likelihood ratio. This idea is demonstrated with a simulation of an idealized single photon emission detector array viewing a possible signal in a two-dimensional lumpy activity distribution.

Original languageEnglish (US)
Pages (from-to)135-143
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2003
EventMedical Imaging 2003: Image Perception, Observer Performance, and Technology Assessment - San Diego, CA, United States
Duration: Feb 18 2003Feb 20 2003

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


Dive into the research topics of 'Assessing the accuracy of estimates of the likelihood ratio'. Together they form a unique fingerprint.

Cite this