Abstract
Abstract Statistics used in work sampling studies are normally evaluated only in terms of their capability to predict activity during the period of the study. In order to evaluate predictive ability beyond the period of the study it is necessary to have a model for the process. One possible model, the alternating Poisson process, is borrowed from renewal theory and explored for utility in systematic work sampling applications. A spacing rule is presented for use in design of sampling studies; the rule takes into account the mean length of time taken by the activity as well as the proportion of time it occupies. A method is given of modifying the rule in the presence of a cost constraint.
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