摘要
介绍了最小一乘法的方程式解法;讨论了这种方程式解法与最小一乘逼近之间的关系;说明了它不仅适用于线性函数类也适用于非线性函数类的最佳逼近的实现;提出了零偏差点附近数据变化的两个重要特征;建立了一种具有"人为"因素的广义最小一乘法;并给出了该法在预测方面的几个应用实例.
In this paper, the formula solution of the Least Absolute Value method is introduced. The relationship between the formula solution and the Least Absolute Value＇s approximation are discussed.The realization of the best approximation that it is not only apply to linear functions also to nonlinear functions are explained.Two important charac- teristics of the data changes near the zero deviation point are put forward.A general Least Absolute Value method of human factors is established.Some examples of application for prediction are given.
出处
《数学的实践与认识》
CSCD
北大核心
2011年第19期107-113,共7页
Mathematics in Practice and Theory
关键词
曲线拟合
最小一乘法
零偏差点
人为因素
curve fitting
least absolute value method
zero deviation points
human factors
