Application of VAR Model based on Distributed Least Squares Estimation Algorithm

Author(s):  
Gao Qingying ◽  
Zhu Yanjie ◽  
Chen Zheang
1985 ◽  
Vol 18 (5) ◽  
pp. 861-866
Author(s):  
M.H. Verhaegen ◽  
J. Vandewalle ◽  
F. Bril ◽  
M. Cumps

2011 ◽  
Vol 90-93 ◽  
pp. 2881-2886
Author(s):  
Yong He Deng

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).


1974 ◽  
Vol 11 (3) ◽  
pp. 303-311 ◽  
Author(s):  
Masao Nakanishi ◽  
Lee G. Cooper

Least squares estimation techniques are developed for a special multiplicative model based on the Luce choice axiom whose potential usefulness in marketing applications justifies estimation techniques which can be easily implemented.


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