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Statistical Modelling of Soybean Crop Yield in Regions of Central India through Mathematical and Computational Approach

机译:通过数学和计算方法对印度中部地区大豆产量的统计模型

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In this paper, we have discussed a number of fitting methods to predict crop yield of soybean depending on the nature of environment and a comparison is done between them on the basis of available data set. Later we have suggested a suitable method for the prediction of the crop yield on the basis of residual (error) terms. Statistical analysis is also used for getting the relationships between different components (variables) of available data set. At last, we have discussed about Chaos that can distort the whole mathematical analysis and a computational approach.
机译:在本文中,我们讨论了多种适合的方法,这些方法可根据环境的性质来预测大豆的农作物产量,并根据可用数据集对它们进行比较。后来我们提出了一种基于残差(误差)项预测作物产量的合适方法。统计分析还用于获取可用数据集的不同组件(变量)之间的关系。最后,我们讨论了可以使整个数学分析和一种计算方法失真的混沌。

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