Ӧ�ø���ͳ�� 2008, 24(6) 621-630 DOI:      ISSN: 1001-4268 CN: 31-1256

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ժҪ�� ��С���˹���������������Ӱ��, ��Сһ�˹������Ƚ�����, ���Ժܺõؿ˷����ȱ��, ����������. ���ڷ��˻�ģ�ͼ����µ��ȶ���������, �����ҵ��˿���׼ȷ�����Сһ�˹��Ƶĵ����㷨,
�������㷨�ļ�����̼������Թ滮���ıȽ�, �Ϻõؽ������Сһ�˹��Ƽ����ѵ�����, ʹ���Ϊ��Ч�IJ������Ʒ���.
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Quick Algorithm for Least Absolute Deviation Estimator
Lu Shulong, Liu Wenli
Colleage of Mathematics and Computer Science, Fuzhou University
Abstract: Least square estimator (LSE) is disturbed easily by singular point; least absolute deviation estimator (LADE) can overcome the influence of singular point, but it is difficult in calculation. A convergent algorithm for LADE based on the stable
pole theorem of LADE under non-degenerate model is obtained in this paper. The progress of algorithm and comparison of linear programming are derived. Further this algorithm makes LADE more effective.
Keywords: Least absolute deviation   least square   convergent algorithm.  
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