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Mathematical model application based on statistics in the evaluation analysis of grape wine quality

机译:基于统计的数学模型在葡萄酒品质评价分析中的应用

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The application of mathematical model based on statistics is widely used in many fields, especially in evaluation subject. On wine quality evaluation, it requires in-depth analysis of the physical-chemical indicators about wine grapes and wine. In this paper, we established the models of fitting, analysis of variance (ANOVA), Q cluster analysis and the optimized method of principal component analysis to explain the relationship between grape and grape wine as well as the physical-chemical indicators and the quality evaluation. Our results suggest that the models provide an effective way to the analysis, prediction and differentiation of grape wine quality. Furthermore, we show that there exits many factors affect the quality of grape wine, our statistics models provide superior performance for grape wine analysis.
机译:基于统计的数学模型的应用已广泛应用于许多领域,尤其是在评估主题中。在葡萄酒质量评估中,它需要深入分析有关酿酒葡萄和葡萄酒的物理化学指标。本文建立了拟合模型,方差分析(ANOVA),Q聚类分析和主成分分析的优化方法,以解释葡萄与葡萄酒之间的关系以及理化指标和质量评价。 。我们的结果表明,这些模型为分析,预测和区分葡萄酒质量提供了有效的方法。此外,我们发现存在许多影响葡萄酒质量的因素,我们的统计模型为葡萄酒分析提供了卓越的性能。

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