摘要
采用最小二乘法进行回归分析,容易受到奇异点的影响;最小一乘法虽能很好地克服这一缺陷,但又存在计算困难。利用LINGO软件能够快速、准确地估计出最小一乘线性回归的参数,从而使其成为一种有效的参数估计方法。
Least squares regression is vulnerable to singular point; least absolute deviations can overcome this shortcoming but difficult in calculation. By using LINGO software, coefficients can be estimated for linear least absolute deviations regression quickly and accurately, making it an effective approach to coefficient estimation.
出处
《贵州财经学院学报》
2006年第6期106-108,共3页
Journal of Guizhou College of Finance and Economics
基金
贵州财经学院统计学重点学科经费资助
