A probabilistic model for explaining the points achieved by a team in football competition: forecasting and regression with applications to the Spanish league

DOI10.2436/20.8080.02.81zbMath1420.62286OpenAlexW3198133930MaRDI QIDQ5232510

Nancy Dávila Cárdenes, José M. Pérez-Sánchez, Emilio Gómez-Déniz

Publication date: 12 September 2019

Full work available at URL: https://accedacris.ulpgc.es/handle/10553/69255

zbMATH Keywords

forecastingregressioncovariateweighted distributiontruncated distributionfootball datasport statistics

Mathematics Subject Classification ID

Bayesian inference (62F15) General nonlinear regression (62J02) Diagnostics, and linear inference and regression (62J20)

Related Items (2)

Influence of red and yellow cards on team performance in elite soccer ⋮ Computing probabilities of integer-valued random variables by recurrence relations

Cites Work

• Modelling game outcomes of the Brazilian 2006 Series A Championship as ordinal-valued
• On certain properties of power-series distributions
• Bayesian modelling of football outcomes: using the Skellam's distribution for the goal difference
• Weighted Distributions and Size-Biased Sampling with Applications to Wildlife Populations and Human Families
• Bayesian hierarchical model for the prediction of football results
• Univariate Discrete Distributions
• A Class of Random Variables with Discrete Distributions
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