IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v33y1968i1p117-124.html
   My bibliography  Save this article

Maximum likelihood estimation of parameters of signal detection theory—A direct solution

Author

Listed:
  • Donald Dorfman
  • Edward Alf

Abstract

No abstract is available for this item.

Suggested Citation

  • Donald Dorfman & Edward Alf, 1968. "Maximum likelihood estimation of parameters of signal detection theory—A direct solution," Psychometrika, Springer;The Psychometric Society, vol. 33(1), pages 117-124, March.
    • Handle: RePEc:spr:psycho:v:33:y:1968:i:1:p:117-124
    DOI: 10.1007/BF02289677
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02289677
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/BF02289677?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cheam, Amay S.M. & McNicholas, Paul D., 2016. "Modelling receiver operating characteristic curves using Gaussian mixtures," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 192-208.
    2. Maria G.M. Hunink & Douglas K. Richardson & Peter M. Doubilet & Colin B. Begg, 1990. "Testing for Fetal Pulmonary Maturity," Medical Decision Making, , vol. 10(3), pages 201-211, August.
    3. Robert M. Centor, 1985. "A Visicalc Program for Estimating the Area Under a Receiver Operating Characteristic (ROC) Curve," Medical Decision Making, , vol. 5(2), pages 139-148, June.
    4. Sean F. Reardon & Andrew D. Ho, 2015. "Practical Issues in Estimating Achievement Gaps From Coarsened Data," Journal of Educational and Behavioral Statistics, , vol. 40(2), pages 158-189, April.
    5. Juana-María Vivo & Manuel Franco & Donatella Vicari, 2018. "Rethinking an ROC partial area index for evaluating the classification performance at a high specificity range," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(3), pages 683-704, September.
    6. Lloyd, Chris J. & Yong, Zhou, 1999. "Kernel estimators of the ROC curve are better than empirical," Statistics & Probability Letters, Elsevier, vol. 44(3), pages 221-228, September.
    7. Chris J. Lloyd, 2000. "Regression Models for Convex ROC Curves," Biometrics, The International Biometric Society, vol. 56(3), pages 862-867, September.
    8. Zhongkai Liu & Howard D. Bondell, 2019. "Binormal Precision–Recall Curves for Optimal Classification of Imbalanced Data," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 11(1), pages 141-161, April.
    9. Jean Mary Zarate & Caroline R Ritson & David Poeppel, 2013. "The Effect of Instrumental Timbre on Interval Discrimination," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-9, September.
    10. Laurens Beran, 2014. "Hypothesis tests to determine if all true positives have been identified on a receiver operating characteristic curve," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(6), pages 1332-1341, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:psycho:v:33:y:1968:i:1:p:117-124. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.