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Based on the principal component factor analysis method of NBA players comprehensive ability evaluation research

机译:基于主成分分析法的NBA球员综合能力评价研究

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A basketball player ability not only is directly related to how many points and they are on the court, and whether they can help the team win, also on the pitch count, the number of errors, the rebound shot release and fouls also have associated. In order to explore the player ability evaluation model, this paper mainly use the principal component analysis and factor analysis in multivariate analysis, using SPSS software to analyze data, from the measure of the technical level of the player scoring, assists, shooting and other 10 indicators, it is concluded that the indexes and the common factor expression. Using factor analysis of 2011-2012 season eight NBA teams active players to evaluate the comprehensive ability of analysis, get the players ability to comprehensive index model, calculate the composite scores of each player. Will players wage and personal ability of quadratic non-linear regression, using MATLAB software fitting out the function relation between the two. To calculate the due value and the actual income for comparative analysis, it is concluded that the readings, the error between the then relevant reasonable explanation.
机译:篮球运动员的能力不仅与场上得分多少,是否能帮助球队获胜直接相关,还与球场数,失误数,篮板出手和犯规密切相关。为了探索玩家能力评价模型,本文主要运用主成分分析和因子分析进行多元分析,利用SPSS软件对数据进行分析,从衡量玩家得分,助攻,投篮等技术水平入手10指标,结论是指标和公因子表达。利用2011-2012赛季8支NBA球队现役球员的因子分析方法,对球员综合能力进行评估,得出球员综合能力指数模型,计算出每位球员的综合得分。使用MATLAB软件拟合两者之间的函数关系,将球员的工资和个人能力进行二次非线性回归。为了计算出期望值和实际收入进行比较分析,得出的结论是,读数之间的误差随后是相关的合理解释。

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