A new multivariate statistical model of repeated events, the Dirichlet-gamma-Poisson model, is shown to account accurately for the multivariate distribution of four types of victimizations reported in city samples of the National Crime Survey. The lifestyle theory of victimization is used to interpret the compounding that defines the model. Parameter estimation, interpretation, and the prediction of future events based on past events are discussed. The model appears to be applicable to a variety of repeated events data.
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