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Football fever: goal distributions and non-Gaussian statistics

Author

Listed:
  • E. Bittner
  • A. Nußbaumer
  • W. Janke
  • M. Weigel

Abstract

No abstract is available for this item.

Suggested Citation

  • E. Bittner & A. Nußbaumer & W. Janke & M. Weigel, 2009. "Football fever: goal distributions and non-Gaussian statistics," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 67(3), pages 459-471, February.
    • Handle: RePEc:spr:eurphb:v:67:y:2009:i:3:p:459-471
    DOI: 10.1140/epjb/e2008-00396-1
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    Citations

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    Cited by:

    1. Andreas Heuer & Oliver Rubner, 2012. "How Does the Past of a Soccer Match Influence Its Future? Concepts and Statistical Analysis," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-7, November.
    2. Mukherjee, Satyam, 2012. "Identifying the greatest team and captain—A complex network approach to cricket matches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(23), pages 6066-6076.
    3. Schaigorodsky, Ana L. & Perotti, Juan I. & Billoni, Orlando V., 2014. "Memory and long-range correlations in chess games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 304-311.
    4. Jeon, Gyuhyeon & Park, Juyong, 2021. "Characterizing patterns of scoring and ties in competitive sports," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    5. R. Kenna & B. Berche, 2011. "Critical mass and the dependency of research quality on group size," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 527-540, February.
    6. Andreas Heuer & Oliver Rubner, 2014. "Optimizing the Prediction Process: From Statistical Concepts to the Case Study of Soccer," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-9, September.

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