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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m16d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP7W/37UBSR8
Repositóriosid.inpe.br/mtc-m19@80/2010/07.29.14.16   (acesso restrito)
Última Atualização2010:08.12.15.37.03 (UTC) marciana
Repositório de Metadadossid.inpe.br/mtc-m19@80/2010/07.29.14.16.38
Última Atualização dos Metadados2021:02.12.13.48.17 (UTC) administrator
Chave SecundáriaINPE--PRE/
DOI10.1016/j.techfore.2009.07.007
ISSN0040-1625
Chave de CitaçãoMirandaLima:2010:ApHiTi
TítuloA new methodology for the logistic analysis of evolutionary S-shaped processes: Application to historical time series and forecasting
Ano2010
MêsFEB
Data de Acesso05 maio 2024
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho691 KiB
2. Contextualização
Autor1 Miranda, Luiz C. M
2 Lima, Carlos A. S
Grupo1 DGE-CEA-INPE-MCT-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Univ Estadual Campinas, Campinas, SP Brazil
RevistaTechnological Forecasting and Social Change
Volume77
Número2
Páginas175-192
Nota SecundáriaB2_ENGENHARIAS_II A1_INTERDISCIPLINAR
Histórico (UTC)2010-08-12 15:37:03 :: marciana -> administrator :: 2010
2011-06-08 00:04:30 :: administrator -> marciana :: 2010
2011-09-14 11:43:42 :: marciana -> administrator :: 2010
2012-10-10 05:17:27 :: administrator -> marciana :: 2010
2013-03-15 16:37:19 :: marciana -> administrator :: 2010
2021-02-12 13:48:17 :: administrator -> marciana :: 2010
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chavemulti-logistic processes modeling
historical time series
structured residuals
harmonic oscillations
logistic forecasting hybrid corn
technological-change
long-wave
growth
population
economics
cycles
model
ResumoA new multi-logistic methodology to analyze long range time series of evolutionary S-shaped processes is presented. It conceptually innovates over the traditional logistic approach. The ansatz includes computing the residuals to an optimized multi-logistic trend curve least squares fitted to the time-series data. The elements of the residuals series are checked for autocorrelations and once detected the residuals series is further analyzed to search for eventual presence of underlying periodic structures using a truncated Fourier sine series. The method foundations ensures both a universal applicability and a capacity to disclose the existence of active clocks that can be possibly traced to the driving motors of the evolutionary character of the time series, due to the responsiveness of corresponding process to the development of economic cycles. On associating these two views, it is found that the methodology has a strong potential to improve the quality of short-term forecasts. These findings have been put to test through applications of the methodology to studying the time evolution of two commodities of strong economic and social importance (corn and steel) and good results were consistently obtained for both the analytical and forecasting aspects.
ÁreaCST
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDGE > A new methodology...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Arquivo Alvonew.pdf
Grupo de Usuáriosadministrator
marciana
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft36
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhosid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
Unidades Imediatamente Superiores8JMKD3MGPCW/3EU29DP
DivulgaçãoWEBSCI
Acervo Hospedeirosid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress electronicmailaddress format isbn label lineage mark nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url
7. Controle da descrição
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