Zobrazeno 1 - 10
of 322
pro vyhledávání: '"JORGE A. ACHCAR"'
Autor:
Vitor P. Ribeiro, Luiz Desuó Neto, Patricia A. A. Marques, Jorge A. Achcar, Adriano M. Junqueira, Adilson W. Chinatto, Cynthia C. M. Junqueira, Carlos D. Maciel, José Antônio P. Balestieri
Publikováno v:
Agronomy, Vol 13, Iss 12, p 2970 (2023)
The sustainable use of water resources is of utmost importance given climatological changes and water scarcity, alongside the many socioeconomic factors that rely on clean water availability, such as food security. In this context, developing tools t
Externí odkaz:
https://doaj.org/article/5e6b389c68484051bf84860ff2f9862d
Autor:
Jordão N. Oliveira, Jônatas C. Santos, Luis O. Viteri Jumbo, Carlos H. S. Almeida, Pedro F. S. Toledo, Sarah M. Rezende, Khalid Haddi, Weyder C. Santana, Michel Bessani, Jorge A. Achcar, Eugenio E. Oliveira, Carlos D. Maciel
Publikováno v:
Insects, Vol 13, Iss 2, p 181 (2022)
Interactive movements of bees facilitate the division and organization of collective tasks, notably when they need to face internal or external environmental challenges. Here, we present a Bayesian and computational approach to track the movement of
Externí odkaz:
https://doaj.org/article/6018301b48104fd1be1fb4bbd0aea2bd
Autor:
JORGE A. ACHCAR, SÍLVIA R. C. LOPES
Publikováno v:
Revista Colombiana de Estadística, Vol 39, Iss 1, Pp 109-128
In this paper, we present some computational aspects for a Bayesian analysis involving stable distributions. It is well known that, in general, there is no closed form for the probability density function of a stable distribution. However, the use of
Externí odkaz:
https://doaj.org/article/533f3e26dcda480e8bf9a6ac7c61d141
Annual Mean Temperature and Rain Precipitation in North America Using NHPP to Detect Climate Changes
Publikováno v:
International Journal of Environment and Climate Change. 13:141-161
In this study, non-homogeneous Poisson processes (NHPP) are assumed to analyze annual average temperatures and rain precipitations, considering climate data for some regions of North America reported for a long period. A power law process (PLP) is as
Autor:
Jorge Alberto Achcar, Emerson Barili
Publikováno v:
International Journal of Environment and Climate Change. 13:23-47
In this study, we introduce a statistical model applied to climate change data consisting of an autoregressive times series (AR) model which represents a type of random process. A Bayesian approach using MCMC (Markov Chain Monte Carlo) methods is con
Autor:
Ricardo Puziol de Oliveira, Marcos Vinicius de Oliveira Peres, Wesley Bertoli, Jorge Alberto Achcar
Publikováno v:
Model Assisted Statistics and Applications. 18:45-55
The present study considers non-mixture models based on the discrete Burr XIII distribution to model recurrent event data in the presence of a cure fraction. In this context, we provide an alternative to the standard Cox proportional hazards model us
Autor:
Luciana Solera, Sales, Milena da Silva, Gimenes, Andréia Bagliotti, Meneguin, Hernane da Silva, Barud, Jorge Alberto, Achcar, Fernanda Lourenção, Brighenti
Publikováno v:
International Journal of Biological Macromolecules. 228:1-12
This study aimed to develop a multiparticulate system based on sodium alginate/gellan gum polymers for morin controlled release using standardized spray-dryer parameters. A 2
Autor:
Edson Zangiacomi Martinez, Diego Gafuri Silva, Larissa Intrebartoli Resende, Elisangela Aparecida da Silva Lizzi, Jorge Alberto Achcar
Publikováno v:
Pakistan Journal of Statistics and Operation Research. :775-788
Spatial analysis techniques are used in the data analysis of ecological studies, which consider geographical areas as observation units. In this article, we propose a Bayesian bivariate spatial shared component model to mapping the breast and cervica
Autor:
Bruno Caparroz Lopes de Freitas, Jorge Alberto Achcar, Marcos Vinicius de Oliveira Peres, Edson Zangiacomi Martinez
Publikováno v:
Statistics, Optimization & Information Computing. 10:1168-1186
The statistical literature presents many continuous probability distributions with only one parameter, which are extensively used in the analysis of lifetime data, such as the exponential, the Lindley, and the Rayleigh distributions. Alternatively, t
Publikováno v:
Analytics; Volume 1; Issue 1; Pages: 15-26
This work introduces a straightforward framework for semiparametric non-linear models as an alternative to existing non-linear parametric models, whose interpretation primarily depends on biological or physical aspects that are not always available i