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

Dawid A. P. | Zendy; Skene A. M. | Zendy

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

Author(s) -

Dawid A. P.,

Skene A. M.

Publication year - 1979

Publication title -

journal of the royal statistical society: series c (applied statistics)

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.205

H-Index - 72

eISSN - 1467-9876

pISSN - 0035-9254

DOI - 10.2307/2346806

Subject(s) - maximum likelihood , estimation , statistics , mathematics , algorithm , maximum likelihood sequence estimation , observer (physics) , engineering , physics , systems engineering , quantum mechanics

Summary 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.

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