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, 1979, vol. 28, issue 1, 20-28
Abstract:
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.
Date: 1979
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:28:y:1979:i:1:p:20-28
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