You are not currently logged in.
Access JSTOR through your library or other institution:
If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Maximum Likelihood Estimation of Observer Error-Rates Using the EM Algorithm
A. P. Dawid and A. M. Skene
Journal of the Royal Statistical Society. Series C (Applied Statistics)
Vol. 28, No. 1 (1979), pp. 20-28
Stable URL: http://www.jstor.org/stable/2346806
Page Count: 9
You can always find the topics here!Topics: Maximum likelihood estimation, Statistical estimation, Maximum likelihood estimators, Preliminary estimates, Missing data, Applied statistics, Estimate reliability, Statism, Logical givens, Point estimators
Were these topics helpful?See somethings inaccurate? Let us know!
Select the topics that are inaccurate.
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Preview not available
In compiling a patient record many facets are subject to errors of measurement. A model is presented which allows individual error-rates to be estimated for polytomous facets even when the patient's "true" response is not available. The EM algorithm is shown to provide a slow but sure way of obtaining maximum likelihood estimates of the parameters of interest. Some preliminary experience is reported and the limitations of the method are described.
Journal of the Royal Statistical Society. Series C (Applied Statistics) © 1979 Royal Statistical Society