Zobrazeno 1 - 10
of 161
pro vyhledávání: '"Thelma Sáfadi"'
Publikováno v:
Semina: Ciências Exatas e Tecnológicas, Vol 45 (2024)
Many studies have used extensions of ARMA models for the analysis of non-Gaussian time series. One of them is the Generalized Autoregressive Moving Average, GARMA, enabling the modeling of count time series with distributions such as Poisson. The GAR
Externí odkaz:
https://doaj.org/article/b4b525ba5dcf4e44a926016f0d44c2a0
Publikováno v:
Austrian Journal of Statistics, Vol 52, Iss 5 (2023)
Extensions of the Autoregressive Moving Average, ARMA(p, q), class for modeling non-Gaussian time series have been proposed in the literature in recent years, being applied in phenomena such as counts and rates. One of them is the Generalized Autoreg
Externí odkaz:
https://doaj.org/article/d748e83f1ee94141be298db908aa02f4
Autor:
Denismar Alves Nogueira, Thelma Sáfadi, Renato Ribeiro de Lima, Angélica Sousa da Mata, Miriam Monteiro de Castro Graciano, Joziana Muniz de Paiva Barçante, Thales Augusto Barçante, Stela Márcia Pereira Dourado
Publikováno v:
Cadernos de Saúde Pública, Vol 39, Iss 6 (2023)
Resumo: No Brasil, milhões de pessoas vivem em áreas de risco para a esquistossomose, uma doença negligenciada, de caráter crônico e com elevada morbidade. O helminto Schistosoma mansoni está presente em todas as macrorregiões, incluindo o Est
Externí odkaz:
https://doaj.org/article/75cc4d33dc6a48daa7f11bd9518fa2cf
Publikováno v:
Semina: Ciências Exatas e Tecnológicas, Vol 43, Iss 2 (2022)
Models for count data which are temporally correlated have been studied using many conditional distributions, such as the Poisson distribution, and the insertion of different dependence structures. Nonetheless, excess of zeros and over dispersion may
Externí odkaz:
https://doaj.org/article/d9841bc907fb457b88d81aa232944e45
Publikováno v:
Brazilian Archives of Biology and Technology, Vol 65 (2022)
Abstract The classifications resulting from phylogenetic analysis are essential tools for evolutionary studies. Phylogenetic is more than a part of evolutionary biology because its underlying philosophy provides a way to see nature, ask questions, an
Externí odkaz:
https://doaj.org/article/6012461988f5401b9179feec9a75b6d8
Autor:
Alessandra Querino da Silva, Luciano Antonio de Oliveira, Carlos Pereira da Silva, Cristian Tiago Erazo Mendes, Ana Maria Oliveira Ferreira, Thelma Sáfadi, Maria Laene Moreira de Carvalho
Publikováno v:
Acta Scientiarum: Agronomy, Vol 44, Iss 1 (2022)
Brachiaria brizantha is the most economically important forage grass in Brazil and is propagated through sowing. Producing high-quality seeds has been a constant challenge due to their uneven maturation. The development and application of precise and
Externí odkaz:
https://doaj.org/article/1db16dbaf95d4eab821814cbc9c3dc58
Volatilidade de dados intradiários: comportamento multiescala do Ibovespa frente à pandemia COVID-19
Publikováno v:
Semina: Ciências Exatas e Tecnológicas, Vol 42, Iss 1Supl, Pp 25-34 (2021)
Em mercados financeiros, a modelagem da volatilidade vem sendo uma estratégia muito utilizada por refletir as incertezas sobre as variações dos preços dos ativos. Incorporando peculiaridades de séries financeiras, este estudo estimou a volatilid
Externí odkaz:
https://doaj.org/article/b2b3a842aa814dde9a5c346e261df0f4
Autor:
Luiz Otávio de Oliveira Pala, Marcela de Marillac Carvalho, Paulo Henrique Sales Guimarães, Thelma Sáfadi
Publikováno v:
Semina: Ciências Exatas e Tecnológicas, Vol 41, Iss 1, Pp 79-86 (2020)
Com as mudanças nos padrões de risco, novos produtos de seguros são disponibilizados no mercado, atendendo as demandas do consumidor. Consequentemente, os modelos de precificação são reestruturados de modo a gerenciar os níveis de risco e esta
Externí odkaz:
https://doaj.org/article/4d7e8acf910d45209ee8fc7634f19775
Autor:
Michel E.D. Chaves, Marcelo de C. Alves, Thelma Sáfadi, Marcelo S. de Oliveira, Michelle C.A. Picoli, Rolf E.O. Simoes, Guilherme A.V. Mataveli
Publikováno v:
Science of Remote Sensing, Vol 3, Iss , Pp 100021- (2021)
Methods for crop phenology detection using time series analysis have provided accurate information for large agricultural areas in shorter processing times, which can be useful for agronomic management and supply chain monitoring. Given the crop dyna
Externí odkaz:
https://doaj.org/article/dd9a87be15174ea5966e84baf4c62803
Publikováno v:
Genetics and Molecular Biology, Vol 41, Iss 4, Pp 884-892 (2018)
Abstract We propose to evaluate genome similarity by combining discrete non-decimated wavelet transform (NDWT) and elastic net. The wavelets represent a signal with levels of detail, that is, hidden components are detected by means of the decompositi
Externí odkaz:
https://doaj.org/article/4b682bdf308e4265bef172487b4efe02