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Using the Gamma‐Poisson model to predict library circulations

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  • Quentin L. Burrell

Abstract

Recent work has questioned the appropriateness of the gamma mixture of Poisson processes to model the circulation of books in a library. The purpose of this article is to argue that, for all its perceived defects, the model can be used to make predictions regarding future circulations of a quality adequate for general management requirements. The precise mathematical form of the model allows the consideration of any number of possible future developments. The use of the model is extensively illustrated with data from the University of Saskatchewan, Canada, and the University of Sussex, England. © 1990 John Wiley & Sons, Inc.

Suggested Citation

  • Quentin L. Burrell, 1990. "Using the Gamma‐Poisson model to predict library circulations," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(3), pages 164-170, April.
    • Handle: RePEc:bla:jamest:v:41:y:1990:i:3:p:164-170
    DOI: 10.1002/(SICI)1097-4571(199004)41:33.0.CO;2-K
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    Cited by:

    1. Glänzel, Wolfgang, 2007. "Characteristic scores and scales," Journal of Informetrics, Elsevier, vol. 1(1), pages 92-102.
    2. Burrell, Quentin L., 2013. "A stochastic approach to the relation between the impact factor and the uncitedness factor," Journal of Informetrics, Elsevier, vol. 7(3), pages 676-682.
    3. Quentin L. Burrell, 2014. "The individual author’s publication–citation process: theory and practice," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 725-742, January.
    4. Quentin L. Burrell, 2002. "The nth-citation distribution and obsolescence," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(3), pages 309-323, March.
    5. Quentin L. Burrel, 2001. "Stochastic modelling of the first-citation distribution," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(1), pages 3-12, September.

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