THE MARKOV AND THE MIXED‐POISSON MODELS OF LIBRARY CIRCULATION COMPARED

Abstract
Two dynamic models of library circulation, the Markov model originally proposed by Morse and the mixed Poisson model proposed by Burrell and Cane, are applied to a large eleven‐year university circulation data set. Goodness of fit tests indicate that neither model fits the data. In both cases, the set of non‐circulating items is larger than that predicted by the model.