Precision of yule-walker methods for the arma spectral model
Autor(a) principal: | |
---|---|
Data de Publicação: | 2004 |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | https://www.actapress.com/Abstract.aspx?paperId=18383 http://hdl.handle.net/11449/68043 |
Resumo: | In this work a new method is proposed of separated estimation for the ARMA spectral model based on the modified Yule-Walker equations and on the least squares method. The proposal of the new method consists of performing an AR filtering in the random process generated obtaining a new random estimate, which will reestimate the ARMA model parameters, given a better spectrum estimate. Some numerical examples will be presented in order to ilustrate the performance of the method proposed, which is evaluated by the relative error and the average variation coefficient. |
id |
UNSP_29d3215e2efdaa2402298e9fe35f87d6 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/68043 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
Precision of yule-walker methods for the arma spectral modelARMA spectral estimationBootstrapDigital Signal ProcessingLeast squaresAsymptotic stabilityComputer simulationDigital signal processingFourier transformsFunctionsLeast squares approximationsMathematical modelsMatrix algebraMaximum likelihood estimationMonte Carlo methodsRandom processesVectorsAutoregressive moving average (ARMA)Regression analysisIn this work a new method is proposed of separated estimation for the ARMA spectral model based on the modified Yule-Walker equations and on the least squares method. The proposal of the new method consists of performing an AR filtering in the random process generated obtaining a new random estimate, which will reestimate the ARMA model parameters, given a better spectrum estimate. Some numerical examples will be presented in order to ilustrate the performance of the method proposed, which is evaluated by the relative error and the average variation coefficient.Department of Matematics FCT - UNESP, Presidente Prudente - SPDepartment of Matematics FCT - UNESP, Presidente Prudente - SPUniversidade Estadual Paulista (Unesp)Silvestre Bezerra, Manoel I. [UNESP]2014-05-27T11:21:14Z2014-05-27T11:21:14Z2004-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject54-59https://www.actapress.com/Abstract.aspx?paperId=18383Proceedings of the IASTED International Conference on Circuits, Signals, and Systems, p. 54-59.http://hdl.handle.net/11449/680432-s2.0-11144323357Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of the IASTED International Conference on Circuits, Signals, and Systemsinfo:eu-repo/semantics/openAccess2024-06-19T14:32:17Zoai:repositorio.unesp.br:11449/68043Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T13:47:55.077536Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Precision of yule-walker methods for the arma spectral model |
title |
Precision of yule-walker methods for the arma spectral model |
spellingShingle |
Precision of yule-walker methods for the arma spectral model Silvestre Bezerra, Manoel I. [UNESP] ARMA spectral estimation Bootstrap Digital Signal Processing Least squares Asymptotic stability Computer simulation Digital signal processing Fourier transforms Functions Least squares approximations Mathematical models Matrix algebra Maximum likelihood estimation Monte Carlo methods Random processes Vectors Autoregressive moving average (ARMA) Regression analysis |
title_short |
Precision of yule-walker methods for the arma spectral model |
title_full |
Precision of yule-walker methods for the arma spectral model |
title_fullStr |
Precision of yule-walker methods for the arma spectral model |
title_full_unstemmed |
Precision of yule-walker methods for the arma spectral model |
title_sort |
Precision of yule-walker methods for the arma spectral model |
author |
Silvestre Bezerra, Manoel I. [UNESP] |
author_facet |
Silvestre Bezerra, Manoel I. [UNESP] |
author_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Silvestre Bezerra, Manoel I. [UNESP] |
dc.subject.por.fl_str_mv |
ARMA spectral estimation Bootstrap Digital Signal Processing Least squares Asymptotic stability Computer simulation Digital signal processing Fourier transforms Functions Least squares approximations Mathematical models Matrix algebra Maximum likelihood estimation Monte Carlo methods Random processes Vectors Autoregressive moving average (ARMA) Regression analysis |
topic |
ARMA spectral estimation Bootstrap Digital Signal Processing Least squares Asymptotic stability Computer simulation Digital signal processing Fourier transforms Functions Least squares approximations Mathematical models Matrix algebra Maximum likelihood estimation Monte Carlo methods Random processes Vectors Autoregressive moving average (ARMA) Regression analysis |
description |
In this work a new method is proposed of separated estimation for the ARMA spectral model based on the modified Yule-Walker equations and on the least squares method. The proposal of the new method consists of performing an AR filtering in the random process generated obtaining a new random estimate, which will reestimate the ARMA model parameters, given a better spectrum estimate. Some numerical examples will be presented in order to ilustrate the performance of the method proposed, which is evaluated by the relative error and the average variation coefficient. |
publishDate |
2004 |
dc.date.none.fl_str_mv |
2004-12-01 2014-05-27T11:21:14Z 2014-05-27T11:21:14Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.actapress.com/Abstract.aspx?paperId=18383 Proceedings of the IASTED International Conference on Circuits, Signals, and Systems, p. 54-59. http://hdl.handle.net/11449/68043 2-s2.0-11144323357 |
url |
https://www.actapress.com/Abstract.aspx?paperId=18383 http://hdl.handle.net/11449/68043 |
identifier_str_mv |
Proceedings of the IASTED International Conference on Circuits, Signals, and Systems, p. 54-59. 2-s2.0-11144323357 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Proceedings of the IASTED International Conference on Circuits, Signals, and Systems |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
54-59 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128277201551360 |