AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (298.3 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline

Auto-Regressive Models of Non-Stationary Time Series with Finite Length

Wanchun FEI1,2( )Lun BAI1
Material Engineering College, Soochow University, Suzhou 215021, China
Graduate School of Information Science and Technology, the University of Tokyo, Japan
Show Author Information

Abstract

To analyze and simulate non-stationary time series with finite length, the statistical characteristics and auto-regressive (AR) models of non-stationary time series with finite length are discussed and studied. A new AR model called the time varying parameter AR model is proposed for solution of non-stationary time series with finite length. The auto-covariances of time series simulated by means of several AR models are analyzed. The result shows that the new AR model can be used to simulate and generate a new time series with the auto-covariance same as the original time series. The size curves of cocoon filaments regarded as non-stationary time series with finite length are experimentally simulated. The simulation results are significantly better than those obtained so far, and illustrate the availability of the time varying parameter AR model. The results are useful for analyzing and simulating non-stationary time series with finite length.

References

【1】
【1】
 
 
Tsinghua Science and Technology
Pages 162-168

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
FEI W, BAI L. Auto-Regressive Models of Non-Stationary Time Series with Finite Length. Tsinghua Science and Technology, 2005, 10(2): 162-168. https://doi.org/10.1016/S1007-0214(05)70049-3

0

Views

0

Downloads

0

Crossref

N/A

Web of Science

0

Scopus

0

CSCD

Received: 03 November 2003
Revised: 11 March 2004
Published: 01 April 2005
© Tsinghua University Press 2005