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A general statistical model for estimating future demand levels of data-base utilization within an information retrieval organization

A statistical model for characterizing the growth patterns of data base utilization and for estimating future utilization levels of demand has been developed for information retrieval organizations. The model developed is γ = β (1‐e−at) where γ is the number of users of a data base at time †, and α and β are parameters to be estimated. Illustrations of the model applied to a typical information retrieval organization are given and discussed.