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Some Regression Models in Biostatistics and the Analysis of Variance

机译:生物统计学中的一些回归模型和方差分析

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In this paper, we obtain some mathematical models in biostatistics by means of regression and variance analysis. Resorting to the simplication of the factors, which affect the cattle growth, we linearize the nonlinear problem. Consequently, the regression model between feedstuff and the ratio of the cattle growth is established naturally by means of Minitab, Eviews and Mathematica. For accuracy, we generalize the linear equation to cubic equation and. Thus after testing the significance of the regression and analyzing the variance, the best regression equation is obtained.
机译:在本文中,我们通过回归和方差分析获得了一些生物统计学的数学模型。借助于影响牛生长的因素的简单化,我们使非线性问题线性化。因此,借助Minitab,Eviews和Mathematica自然地建立了饲料与牛生长率之间的回归模型。为了精确起见,我们将线性方程推广为三次方程。因此,在测试了回归的显着性并分析了方差之后,便获得了最佳回归方程。

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