摘要
给出基于最小一乘准则的非线性回归模型的参数估计算法。该算法利用泰勒级数和最小一乘准则的性质 ,得到模型的参数估计值。文中用实例验证了该算法的正确性和有效性 。
In this paper,a parameters evaluation algorithm based on the least absolute criteria for non linear regress is developed.Applying the property of the least absolute criteria and the Tayor series theory,the values of parameters are evaluated.From some samples,the correctness of the algorithm and the robustness of the least absolute are verified.
出处
《重庆师范学院学报（自然科学版）》
2001年第4期71-74,共4页
Journal of Chongqing Normal University(Natural Science Edition)
关键词
非线性回归模型
最小一乘准则
稳健性
non linear regress model
least absolute criteria
robustness
