Simulation of a Probabilistic Model for Multi-Contestant Races

K. Gakis, P. Pardalos, Chang-Hwan Choi, Jae-Hyeon Park, Jiwun Yoon
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Abstract

Predictions of sports games have been recognized as an important area of study for its economic significance. The majority of models for such games cover two-player games and the resulting championships or study individual players or teams and their resulting comparative position. However, many sports involve race-type multicontestant games, which are more complex in modeling. In this paper we outline the difficulties associated with the study of such races
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多选手比赛的概率模型仿真
体育比赛预测因其经济意义而被认为是一个重要的研究领域。这类比赛的大多数模型都包括双人比赛和由此产生的冠军,或者研究个人球员或球队及其最终的比较地位。然而,许多体育项目都涉及到竞赛型的多人比赛,这在建模上更为复杂。在本文中,我们概述了与研究这些种族有关的困难
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