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  • Trend change estimation for interrupted time series with heteroscedastic and autocorrelated errors: application in syphilis occurrences in Brazil
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Trend change estimation for interrupted time series with heteroscedastic and autocorrelated errors: application in syphilis occurrences in Brazil

Fuente: Redalyc
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Détails bibliographiques
Auteur principal: Eniuce Menezes de Souza
Format: Artículo científico
Langue:en
Publié: Universidade Estadual de Maringá 2022
Sujets:
Ingeniería
heteroscedasticity
serial correlation
nonconstant variance
intervention time series analysis
linear regression segmented model
Accès en ligne:
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Internet

https://www.redalyc.org/articulo.oa?id=303277857031
https://www.redalyc.org/journal/3032/303277857031/
https://www.redalyc.org/journal/3032/303277857031/html/
https://www.redalyc.org/journal/3032/303277857031/303277857031.epub
https://www.redalyc.org/journal/3032/303277857031/movil
https://doi.org/10.4025/actascitechnol.v44i1.59513

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