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Regression models for forecasting goals and match results in association football

  • Goddard, John

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File URL: http://www.sciencedirect.com/science/article/B6V92-4DTKG61-1/2/ed035738e57e28c613cd92168b06b75c
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Article provided by Elsevier in its journal International Journal of Forecasting.

Volume (Year): 21 (2005)
Issue (Month): 2 ()
Pages: 331-340

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Handle: RePEc:eee:intfor:v:21:y:2005:i:2:p:331-340
Contact details of provider: Web page: http://www.elsevier.com/locate/ijforecast

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  1. Tim Kuypers, 2000. "Information and efficiency: an empirical study of a fixed odds betting market," Applied Economics, Taylor & Francis Journals, vol. 32(11), pages 1353-1363.
  2. Ioannis Asimakopoulos & John Goddard, 2004. "Forecasting football results and the efficiency of fixed-odds betting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(1), pages 51-66.
  3. P. Glewwe, 1997. "A test of the normality assumption in ordered probit model," Econometric Reviews, Taylor & Francis Journals, vol. 16(1), pages 1-19.
  4. Forrest, David & Simmons, Robert, 2000. "Forecasting sport: the behaviour and performance of football tipsters," International Journal of Forecasting, Elsevier, vol. 16(3), pages 317-331.
  5. Audas, Rick & Dobson, Stephen & Goddard, John, 2002. "The impact of managerial change on team performance in professional sports," Journal of Economics and Business, Elsevier, vol. 54(6), pages 633-650.
  6. Dixon, Mark J. & Pope, Peter F., 2004. "The value of statistical forecasts in the UK association football betting market," International Journal of Forecasting, Elsevier, vol. 20(4), pages 697-711.
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