Abstract
A mathematical model is put forward for the analysis of the results of an experiment of this kind and maximum likelihood estimates of the various parameters are derived. The application of the proposed methods is illustrated by an analysis of data from a study of the prevalence of pneumoconiosis amongst coal miners.

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