IDENTIFYING REGIONS OF SIGNIFICANCE IN ANCOVA PROBLEMS HAVING NONHOMOGENEOUS REGRESSIONS
IDENTIFYING REGIONS OF SIGNIFICANCE IN ANCOVA PROBLEMS HAVING NONHOMOGENEOUS REGRESSIONS
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DOI：
10.1111/j.2044-8317.1995.tb01056.x
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发表时间：
1995-05-01
影响因子：
2.6
通讯作者：
HUNKA, S
中科院分区：
文献类型：
--
作者：
HUNKA, S
虽然Johnson-Neyman问题已经在文献中得到了很好的定义，但计算问题限制了研究人员的使用。将协方差分析模型定义为一般线性模型，可以大大简化计算问题。在一般线性模型中，用于评估组效应的对比矩阵包含与组等效的未知值。通过使用Mathematica计算机软件包的符号处理或三维绘图和轮廓绘图功能，可以获得有效区域的未知值或边界的解。
Although the Johnson-Neyman problem has been well defined in the literature, computational problems have restricted its use by researchers. The computational problems can be simplified considerably by defining the analysis of covariance model in terms of the general linear model in which the contrast matrix for assessing group effects holds the unknown values to which groups are equated. A solution for the unknown values or boundary for the region of significance can be obtained by using the symbolic processing, or three-dimensional graphing and contour plotting capabilities of the Mathematica computer software package.