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1. Identity statement
Reference TypeJournal Article
Sitemtc-m16d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP7W/37UBSR8
Repositorysid.inpe.br/mtc-m19@80/2010/07.29.14.16   (restricted access)
Last Update2010:08.12.15.37.03 (UTC) marciana
Metadata Repositorysid.inpe.br/mtc-m19@80/2010/07.29.14.16.38
Metadata Last Update2021:02.12.13.48.17 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.1016/j.techfore.2009.07.007
ISSN0040-1625
Citation KeyMirandaLima:2010:ApHiTi
TitleA new methodology for the logistic analysis of evolutionary S-shaped processes: Application to historical time series and forecasting
Year2010
MonthFEB
Access Date2024, Apr. 28
Secondary TypePRE PI
Number of Files1
Size691 KiB
2. Context
Author1 Miranda, Luiz C. M
2 Lima, Carlos A. S
Group1 DGE-CEA-INPE-MCT-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Univ Estadual Campinas, Campinas, SP Brazil
JournalTechnological Forecasting and Social Change
Volume77
Number2
Pages175-192
Secondary MarkB2_ENGENHARIAS_II A1_INTERDISCIPLINAR
History (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. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsmulti-logistic processes modeling
historical time series
structured residuals
harmonic oscillations
logistic forecasting hybrid corn
technological-change
long-wave
growth
population
economics
cycles
model
AbstractA 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.
AreaCST
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDGE > A new methodology...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target Filenew.pdf
User Groupadministrator
marciana
Visibilityshown
Archiving Policydenypublisher denyfinaldraft36
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
Next Higher Units8JMKD3MGPCW/3EU29DP
DisseminationWEBSCI
Host Collectionsid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notes
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7. Description control
e-Mail (login)marciana
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