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A new continuous distribution on the unit interval applied to modelling the points ratio of football teams

机译:对机组间隔的新连续分布,适用于建模足球队的比分比

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摘要

We introduce a new flexible distribution to deal with variables on the unit interval based on a transformation of the sinh-arcsinh distribution, which accommodates different degrees of skewness and kurtosis and becomes an interesting alternative to model this type of data. We also include this new distribution into the generalised additive models for location, scale and shape (GAMLSS) framework in order to develop and fit its regression model. For different parameter settings, some simulations are performed to investigate the behaviour of the estimators. The potentiality of the new regression model is illustrated by means of a real dataset related to the points rate of football teams at the end of a championship from the four most important leagues in the world: Barclays Premier League (England), Bundesliga (Germany), Serie A (Italy) and BBVA league (Spain) during three seasons (2011-2012, 2012-2013and 2013-2014).
机译:我们介绍了一种新的灵活分布,以应对单位间隔的变量基于Sinh-Arcsinh分布的转换,这适应了不同程度的偏光和峰度,并成为模拟这种类型的数据的有趣替代方案。我们还将这种新的分发添加到广义添加剂模型中,用于位置,规模和形状(GAMLS)框架,以便开发和适合其回归模型。对于不同的参数设置,执行一些模拟以研究估算器的行为。新回归模型的潜力是通过与世界上四个最重要联赛的锦标赛结束的真实数据集进行了与足球队的点率相关的真实数据集:巴克莱总理联盟(英格兰),德国(德国) ,Serie A(意大利)和BBVA联盟(西班牙)在三季(2011-2012,2012-2013和2013-2014)。

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