摘要
建立了通用的回归分析模型,它包含了直线、指数线、抛物线、双曲线等众多模型形式,因而具有广泛代表性.分析了通用模型中的常数项对模型曲线形状的影响.结合实例用计算机程序给出了相关参数的数值解法.通用模型与数值解法相结合,突破了回归分析中预先确定简单函数曲线误差大和复杂曲线求解难度大之间的矛盾问题,大幅度提高了计算精度和速度.
A general mathematical model in regression analysis is found. It includes many curves as beeline, exponential curve, parabola, hyperbola and so on. Also this paper analysed the influence of the constant parameters. With computer procedure, the value of the constant parameters can be easily gained in practical examples, and it is illustrated in the paper. Besides this method can improve the calculation velocity and precision of complicated regression analysis.
出处
《数学的实践与认识》
CSCD
北大核心
2006年第1期174-180,共7页
Mathematics in Practice and Theory
