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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m16b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGPBW/U6Q33E
Repositóriosid.inpe.br/mtc-m17@80/2007/06.26.13.59   (acesso restrito)
Última Atualização2008:11.20.18.29.43 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m17@80/2007/06.26.13.59.32
Última Atualização dos Metadados2018:06.05.03.30.24 (UTC) administrator
Chave SecundáriaINPE--PRE/
DOI10.1016/j.cageo.2007.09.022
ISSN0098-3004
Chave de CitaçãoNordemannRigoEcheEche:2008:ApSuGr
TítuloPrincipal Components and Iterative Regression Analysis of Geophysical Series: Application to Sunspot Group Number (1750-2004)
Ano2008
MêsNov.
Data de Acesso18 maio 2024
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho505 KiB
2. Contextualização
Autor1 Nordemann, Daniel Jean Roger
2 Rigozo, Nivaor Rodolfo
3 Echer, Ezequiel
4 Echer, Mariza Pereira de Souza
Identificador de Curriculo1 8JMKD3MGP5W/3C9JGT6
2
3 8JMKD3MGP5W/3C9JH3D
Grupo1 DGE-CEA-INPE-MCT-BR
2 DGE-CEA-INPE-MCT-BR
3 DGE-CEA-INPE-MCT-BR
4 DGE-CEA-INPE-MCT-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
RevistaComputers and Geosciences
Volume34
Número11
Páginas1443-1453
Histórico (UTC)2007-06-29 19:12:20 :: rosemary -> simone ::
2007-12-19 14:21:34 :: simone -> administrator ::
2008-06-29 02:34:47 :: administrator -> simone ::
2008-11-20 18:30:00 :: simone -> administrator ::
2012-07-13 22:22:45 :: administrator -> simone ::
2013-02-20 15:19:59 :: simone -> administrator :: 2008
2018-06-05 03:30:24 :: administrator -> marciana :: 2008
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Palavras-ChavePrincipal components analysis
Regression analysis
Geophysical time series
Reconstruction sunspot number
Prediction solar activity
ResumoWe present here an implementation of a least squares iterative regression method applied to the sine functions embedded in the principal components extracted from geophysical time series. This method seems to represent a useful improvement for the non-stationary time series periodicity quantitative analysis. The principal components determination followed by the least squares iterative regression method was implemented in an algorithm written in the Scilab (2006) language. The main result of the method is to obtain the set of sine functions embedded in the series analyzed in decreasing order of significance, from the most important ones, likely to represent the physical processes involved in the generation of the series, to the less important ones that represent noise components. Taking into account the need of a deeper knowledge of the Sun's past history and its implication to global climate change, the method was applied to the Sunspot Number series (17502004). With the threshold and parameter values used here, the application of the method leads to a total of 441 explicit sine functions, among which 65 were considered as being significant and were used for a reconstruction that gave a normalized mean squared error of 0.146..
ÁreaCEA
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDGE > Principal Components and...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Arquivo Alvoprincipal components.pdf
Grupo de Usuáriosadministrator
rosemary
simone
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EU29DP
DivulgaçãoWEBSCI; PORTALCAPES.
Acervo Hospedeirolcp.inpe.br/ignes/2004/02.12.18.39
cptec.inpe.br/walmeida/2003/04.25.17.12
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel documentstage e-mailaddress electronicmailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url versiontype
7. Controle da descrição
e-Mail (login)marciana
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