EconPapers    
Economics at your fingertips  
 

One New Method on ARMA Model Parameters Estimation

Xiaoqin Cao, Rui Shan, Jing Fan and Peiliang Li

Modern Applied Science, 2009, vol. 3, issue 5, 204

Abstract: The estimation of ARMA model parameters really belongs to the least-square problem,in ARMA model because the residual are calculated by given time series,the time series and parameter are nonlinear.However it is difficult to calculate the derivative of objective function.This paper substitutes derivative with difference,then calculate the first derivative and the second derivative of objective function.Finally we prove that, under suitable hypotheses, the proposed algorithm converges globally.

Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ccsenet.org/journal/index.php/mas/article/download/1961/1865 (application/pdf)
https://ccsenet.org/journal/index.php/mas/article/view/1961 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ibn:masjnl:v:3:y:2009:i:5:p:204

Access Statistics for this article

More articles in Modern Applied Science from Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().

 
Page updated 2025-03-19
Handle: RePEc:ibn:masjnl:v:3:y:2009:i:5:p:204