GM(1,1) model based on least absolute estimation of residual

被引：1
|
作者：
Deng, Yonghe [1 ]
机构：
[1] Lishui Coll, Dept Architecture Engn, Lishui 323000, Peoples R China
来源：
ADVANCES IN CIVIL ENGINEERING, PTS 1-4 | 2011年 / 90-93卷
关键词：
GM(1,1); least squares estimation; least absolute estimation; residual;
D O I：
10.4028/www.scientific.net/AMM.90-93.2881
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Based on the choice characteristic of least absolute estimation,and the principle of the minimum of summation of residual absolute value,the GM(1,1) model is proposed to distortion inspecting and forecasting.Exemples show the precision of least absolute estimation is uncertain to be higher a little than that of least squares estimation when observation value contains gross error,and the precision of least absolute estimation is lower a little than that of least squares estimation when observation value doesn't contain gross error.So least absolute estimation isn't beter to GM(1,1).
引用
收藏
页码：2881 / 2886
页数：6
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