Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Silvio Fernando Alves Xavier Júnior"'
Autor:
Lucas Cardoso Pereira, Sóstenes Jerônimo da Silva, Cleanderson Romualdo Fidelis, Alisson de Lima Brito, Silvio Fernando Alves Xavier Júnior, Lorena Sofia dos Santos Andrade, Milena Edite Casé de Oliveira, Tiago Almeida de Oliveira
Publikováno v:
Revista Panamericana de Salud Pública, Vol 46, Iss 17, Pp 1-9 (2022)
Objective. To evaluate, using semiparametric methodologies of survival analysis, the relationship between covariates and time to death of patients with breast cancer, as well as the determination discriminatory power in the conditional inference tree
Externí odkaz:
https://doaj.org/article/35e3580214ba482a85aa3338a8fccc04
Autor:
Kerolly Kedma Felix do Nascimento, Fábio Sandro dos Santos, Jader Silva Jale, Silvio Fernando Alves Xavier Júnior, Tiago A. E. Ferreira
Publikováno v:
Computational Economics. 61:1095-1114
With the growing popularity of digital currencies known as cryptocurrencies, there is a need to develop models capable of robustly analyzing and predicting the value of future returns in these markets. In this article, we extract behavior rules to pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cf58863af67b3b01f87ed85f14cbc87
https://doi.org/10.1007/s10614-022-10237-7
https://doi.org/10.1007/s10614-022-10237-7
Autor:
KEROLLY KEDMA FELIX DO NASCIMENTO, FÁBIO SANDRO DOS SANTOS, KELLYMA KELLYASHIN FELIX DO NASCIMENTO, KENIKYWAYNNE KEROWAYNNE FELIX DO NASCIMENTO, SILVIO FERNANDO ALVES XAVIER JÚNIOR, JADER SILVA JALE, TIAGO A. E. FERREIRA
Publikováno v:
Fractals. 30
This study evaluates the Brazilian agricultural commodities market and the dollar–real exchange price variation using the multifractal detrended fluctuations analysis methodology. We investigated the period from January 1, 2019 to September 25, 201
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71cd1040cb68eef8f31d240f68d757bf
https://doi.org/10.1142/s0218348x22501006
https://doi.org/10.1142/s0218348x22501006
Autor:
Sílvio Fernando Alves Xavier Júnior, Jader da Silva Jale, Tatijana Stosic, Carlos Antonio Costa dos Santos, Vijay P. Singh
Publikováno v:
Revista Brasileira de Meteorologia, Vol 35, Iss 2, Pp 187-196 (2020)
Abstract This work aimed to select semivariogram models to estimate trends in monthly precipitation in Paraiba State-Brazil using ordinary kriging. The methodology involves the application of geostatistical interpolation of precipitation records of 5
Externí odkaz:
https://doaj.org/article/71c6c26cebcd4fd8a2d873e44b16d04a
Autor:
Jader da Silva Jale, Sílvio Fernando Alves Xavier Júnior, Érika Fialho Morais Xavier, Tatijana Stošić, Borko Stošić, Tiago Alessandro Espínola Ferreira
Publikováno v:
Acta Scientiarum: Technology, Vol 41, Iss 1, Pp e37186-e37186 (2019)
This study analyzed the behavior of daily rainfall in the State of Paraíba using the data from five meteorological stations distributed across the mesoregions of this state. We used the three-state Markov Chain model, in which states are defined as
Externí odkaz:
https://doaj.org/article/3f25ec92b0d849d1830e818c17b04000
Autor:
Sílvio Fernando Alves Xavier Júnior, Tatijana Stosic, Borko Stosic, Jader Da Silva Jale, Érika Fialho Morais Xavier
Publikováno v:
Acta Scientiarum: Technology, Vol 40, Iss 1, Pp e35116-e35116 (2018)
The aim of this study was to evaluate the statistical properties of a daily rainfall time series recorded in Piracicaba river basin, state of Sao Paulo, Brazil in the period 1917-2016. We apply Multifractal Detrended Fluctuation Analysis (MF-DFA) on
Externí odkaz:
https://doaj.org/article/3b05b3701ff44d06b24787a69666a8cf
Publikováno v:
Revista Brasileira de Meteorologia, Vol 34, Iss 2, Pp 293-300
Abstract In this work we study the influence of the Sobradinho dam construction on daily streamflow of São Francisco River, Brasil, by analyzing long-range correlations in magnitude and sign time series obtained from streamflow anomalies, using the
Externí odkaz:
https://doaj.org/article/669eb4942317482d902d2e575741cb12