非线性模型连续调节变量检验的实现方法
发布时间：2018-07-31 09:56
【摘要】：针对非线性模型中调节作用检验不能只依赖交叉项系数的问题,目前存在两个解决办法:构造更好的统计量和通过图形直观表现。但是已有研究对于非线性模型中的离散型和连续型调节变量没有作进一步区分,尤其是非线性模型中连续型调节变量的检验一直缺乏简便有效的方法。文章从模型和数据两个维度划分了四种调节变量的类型,梳理了不同类型调节变量的检验方法和存在的问题,针对连续型调节变量检验的问题,提出了对连续变量进行多点分割的处理方式,并采用三维作图的方法,直观展现了调节作用的连续变化。
[Abstract]:In order to solve the problem that the adjustment function test in nonlinear model can not only depend on the cross-term coefficient, there are two solutions: constructing better statistics and visualizing representation by graphics. However, there is no further distinction between discrete and continuous variable in nonlinear model, especially the test of continuous variable in nonlinear model is lack of simple and effective method. This paper divides four types of adjustment variables from two dimensions of model and data, combs the test methods and existing problems of different types of adjustment variables, aiming at the problems of continuous adjustment variable testing. A method of multi-point segmentation for continuous variables is proposed, and a three-dimensional mapping method is used to visualize the continuous variation of the adjusting action.
【作者单位】： 山东大学县域发展研究院;北京邮电大学经济管理学院;中国人民大学信息学院;
【基金】：中央高校基本科研业务费专项基金资助项目 山东大学基本科研业务费专项基金资助项目(2017GN006)
【分类号】：C81
本文编号：2155221
[Abstract]:In order to solve the problem that the adjustment function test in nonlinear model can not only depend on the cross-term coefficient, there are two solutions: constructing better statistics and visualizing representation by graphics. However, there is no further distinction between discrete and continuous variable in nonlinear model, especially the test of continuous variable in nonlinear model is lack of simple and effective method. This paper divides four types of adjustment variables from two dimensions of model and data, combs the test methods and existing problems of different types of adjustment variables, aiming at the problems of continuous adjustment variable testing. A method of multi-point segmentation for continuous variables is proposed, and a three-dimensional mapping method is used to visualize the continuous variation of the adjusting action.
【作者单位】： 山东大学县域发展研究院;北京邮电大学经济管理学院;中国人民大学信息学院;
【基金】：中央高校基本科研业务费专项基金资助项目 山东大学基本科研业务费专项基金资助项目(2017GN006)
【分类号】：C81
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