An Iterative Technique for Absolute Deviations Curve Fitting
An Iterative Technique for Absolute Deviations Curve Fitting
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DOI：
10.1080/01621459.1973.10481436
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发表时间：
1973-12
影响因子：
3.7
通讯作者：
E. Schlossmacher
中科院分区：
文献类型：
--
作者：
E. Schlossmacher
摘要提出了一种用于数据绝对偏差回归的迭代方法.该技术的核心是任何标准的最小二乘曲线拟合算法。因此，所得到的回归过程是计算简单，需要更少的存储空间，是比线性规划算法最近提出的解决这个问题的速度更快。最后讨论了最小一乘回归中非唯一解的相关问题。
Abstract An iterative technique is proposed for the absolute deviations regression of data. At the heart of the technique is any standard least squares curve fitting algorithm. Hence, the resulting regression procedure is computationally simple, requires less storage and is faster than the linear programming algorithm recently proposed as a solution to this problem. Problems associated with non-unique solutions in least absolute deviations regression are also discussed.