论文信息 - Maximum Likelihood Estimation of Observer Error‐Rates Using the EM Algorithm

Maximum Likelihood Estimation of Observer Error‐Rates Using the EM Algorithm

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.

A. P. Dawid | A. M. Skene | A. Dawid | A. Skene

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