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Inventive productivity and the statistics of exceedances

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  • J. C. Huber

    (Institute for Invention and Innovation)

Abstract

We show that inventive productivity can be described by two variables, Frenquency and Lifetime. For several samples of inventors, we show that the Exponential and Generalized Pareto distributions provide excellent goodness-of-fit to these variables. Furthermore, good fits to these distributions arises naturally from the statistics of exceedance. Thus, a better theoretical foundation and connection to environmental variables is shown for Frequency and Lifetime than has been shown for Lotka's Law.

Suggested Citation

  • J. C. Huber, 1999. "Inventive productivity and the statistics of exceedances," Scientometrics, Springer;Akadémiai Kiadó, vol. 45(1), pages 33-53, May.
    • Handle: RePEc:spr:scient:v:45:y:1999:i:1:d:10.1007_bf02458467
    DOI: 10.1007/BF02458467
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    References listed on IDEAS

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    1. Henry Voos, 1974. "Lotka and information science," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 25(4), pages 270-272, July.
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    Cited by:

    1. Ronald Rousseau, 2002. "Lack of standardisation in informetric research. Comments on “Power laws of research output. Evidence for journals of economics” by Matthias Sutter and Martin G. Kocher," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(2), pages 317-327, August.
    2. John C. Huber & Roland Wagner-Döbler, 2001. "Scientific production: A statistical analysis of authors in mathematical logic," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(2), pages 323-337, February.
    3. John C. Huber & Roland Wagner-Döbler, 2001. "Scientific production: A statistical analysis of authors in physics, 1800-1900," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(3), pages 437-453, March.

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