首页> 外文期刊>Allgemeine Forst und Jagdzeitung >The supposed control of leaf loss of Common beech (Fagus sylvatica L.) by climatic factors. [Mathematical and statistical remarks concerning 'Control of the so called 'leaf loss' of European beech (Fagus sylvatica L.) by the weather' (Gruber,2004, AF
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The supposed control of leaf loss of Common beech (Fagus sylvatica L.) by climatic factors. [Mathematical and statistical remarks concerning 'Control of the so called 'leaf loss' of European beech (Fagus sylvatica L.) by the weather' (Gruber,2004, AF

机译:假定是由气候因素控制的山毛榉(Fagus sylvatica L.)的叶子损失。 [关于通过天气控制欧洲山毛榉(Fagus sylvatica L.)的所谓“叶片损失”的数学和统计资料”(格鲁伯,2004年,AF

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This paper discusses the serious shortcomings in Gruber's contribution entitled 'Control of the so-called 'leaf loss' of European beech (Fagus sylvatica) by the weather' [See AFJZ (2004) 175/4-5, 83-94]. The selection of predictor variables, their specific weighting and additive connection to multi-annual weather indices in this study are exclusively aimed at attaining high coefficients of determination (R-square) of the derived multiple linear regression models. In order to change a negative into a positive relationship with the dependent variable, Gruber calculated its reciprocal (1/x) instead of reflecting the predictor variable on the x-axis. This caused an unintentional and uncontrolled data transformation. In addition, restrictions for the application of multiple regression analyses (overfitting of the model, multicollinearity and autocorrelation of variables) as well as necessary testing criteria were ignored. With this approach, random effects cannot be distinguished from real influences which entails serious consequences for the practical interpretation of the results. The presented models are neither suitable for a better understanding of the crown condition of beech and its temporal variation nor do they provide valuable tools for retrospective analyses or predictions. Therefore, the conclusions and claims presented by Gruber are also invalid..
机译:本文讨论了格鲁伯(Gruber)所做的题为“通过天气控制欧洲山毛榉(Fagus sylvatica)的所谓“叶子损失”的控制”的严重缺陷[参见AFJZ(2004)175 / 4-5,83-94]。在这项研究中,预测变量的选择,它们的特定权重以及与多年天气指数的累加关系专门旨在获得派生的多个线性回归模型的高确定系数(R平方)。为了将负变量与因变量变为正关系,Gruber计算了其倒数(1 / x),而不是在x轴上反映预测变量。这导致了意外的和不受控制的数据转换。此外,忽略了应用多元回归分析的限制(模型的拟合,变量的多重共线性和自相关)以及必要的测试标准。使用这种方法,无法将随机影响与实际影响区分开来,这给实际解释结果带来了严重的后果。提出的模型既不适合于更好地了解山毛榉的冠状条件及其时间变化,也不能为回顾性分析或预测提供有价值的工具。因此,Gruber提出的结论和主张也无效。

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