How Does the Past of a Soccer Match Influence Its Future? Concepts and Statistical Analysis
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References listed on IDEAS
- 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.
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- Bolle Friedel & Otto Philipp E., 2016.
"Matching as a Stochastic Process,"
Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(3), pages 323-348, May.
- Bolle Friedel & Otto Philipp E., 2016. "Matching as a Stochastic Process," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(3), pages 323-348, May.
- Stijn Baert & Simon Amez, 2018.
"No better moment to score a goal than just before half time? A soccer myth statistically tested,"
PLOS ONE, Public Library of Science, vol. 13(3), pages 1-17, March.
- Baert, Stijn & Amez, Simon, 2016. "No Better Moment to Score a Goal than Just Before Half Time? A Soccer Myth Statistically Tested," IZA Discussion Papers 9980, Institute of Labor Economics (IZA).
- Henrich R Greve & Jo Nesbø & Nils Rudi & Marat Salikhov, 2020. "Are goals scored just before halftime worth more? An old soccer wisdom statistically tested," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-11, October.
- J. James Reade & Carl Singleton & Leighton Vaughan Williams, 2020. "Betting markets for English Premier League results and scorelines: evaluating a forecasting model," Economics Discussion Papers em-dp2020-03, Department of Economics, Reading University.
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