Prediction of Future Random Events with the Condensed Negative Binomial Distribution
Journal of the American Statistical AssociationPublished 1 June 1983
David G. Schmittlein, Donald G. Morrison
Citations47
SJR quartileQ1
SJR score4.10
SNIP3.08
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Abstract
Abstract The condensed negative binomial distribution (CNBD) has been proposed as a stochastic model that is more appropriate for consumer purchasing behavior than is the common negative binomial distribution. Since this model was motivated previously and shown to fit single-period purchasing data, the focus here turns to the dynamics of the process, as reflected in the aggregate characteristics of interpurchase times and period-to-period predictions. The theoretical results are useful for comparing the predictive effectiveness of the CNBD with the commonly used negative binomial distribution.
Keywords
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