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:: Volume 21, Issue 2 (3-2011) ::
مجله‌ی بررسی‌ها 2011, 21(2): 229-238 Back to browse issues page
Fitting a Poisson Regression Model on the Iranian Premier League Football Results
Soheila Shabani, Ehsan Bahrami Samani *, Changiz Eslahchi
Abstract:   (3838 Views)

Today, the predictive results of sporting events have become an important issue. Meanwhile, soccer is of particular importance in Iran and the need for a model that, not only can predict the result of a game, but also can predict the result of an entire league, is felt. Therefore, this paper attempts to present a statistical model for responding to this need by using Bayesian methods. Here, Poisson regression model is first introduced and then is used to obtain estimates of model parameters, using WinBUGS software. Finally, the model is used to fit on the data of the Iranian Premier League during the year 1388-89.

Keywords: Generalized linear model, Poisson regression model, Bayesian inference
Full-Text [PDF 374 kb]   (2550 Downloads)    
Type of Study: Research | Subject: General
Received: 2010/10/20 | Accepted: 2011/01/21 | Published: 2016/01/13
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Shabani S, Bahrami Samani E, Eslahchi C. Fitting a Poisson Regression Model on the Iranian Premier League Football Results. مجله‌ی بررسی‌ها 2011; 21 (2) :229-238
URL: http://ijoss.srtc.ac.ir/article-1-89-en.html

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Volume 21, Issue 2 (3-2011) Back to browse issues page
مجله‌ی بررسی‌های آمار رسمی ایران Ijoss Iranian Journal of Official Statistics Studies
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