摘要
非线性回归分析（Nonlinear Regression Analysis）是在传统的线性回归分析（Linear Regression Analysis）的基础上借助计算机来处理复杂非线性问题的常用手段。它的应用非常广泛。但是非线性回归分析存在着灵活性较高、人为因素复杂且无一般程式可供遵循的难点。本文在介绍回归的相关理论及存在的问题的基础上，重点介绍了多元非线性回归的建立方法，并借助SPSS统计软件，将多元非线性回归方法应用到语言测试的相关领域。
Nonlinear regression analysis which is based on the traditional linear regression analysis untilizes the computers to deal with the complicated nonlinear problem. It is the frequently-used method and is used broadly. However, some difficulties exist in this kind of analysis, such as high flexibility, complex human factors and nongeneral following programs. The present article introduces the relevant theories of regression and the existing problems, and puts much effort on the establishing methodology of multiple nonlinear regression with the help of SPSS statistics software. Finally, it applys this methodology into the related field of language testing.
出处
《中国考试》
2010年第11期17-22,共6页
journal of China Examinations
关键词
多元线性回归
多元曲线回归
语言测试
Linear Regression
Multiple Nonlinear Regression
Language Testing
