Search Results - "de Bastiani, Fernanda"

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  1. 1

    GAMLSS: A distributional regression approach by Stasinopoulos, Mikis D, Rigby, Robert A, Bastiani, Fernanda De

    Published in Statistical modelling (01-06-2018)
    “…A tutorial of the generalized additive models for location, scale and shape (GAMLSS) is given here using two examples. GAMLSS is a general framework for…”
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    Efficacy of voriconazole in vitro and in invertebrate model of cryptococcosis by de Castro Spadari, Cristina, da Silva de Bastiani, Fernanda Walt Mendes, Pisani, Pietro Bruno Bautista, de Azevedo Melo, Analy Salles, Ishida, Kelly

    Published in Archives of microbiology (01-05-2020)
    “…Cryptococcosis is a common opportunistic infection in patients with advanced HIV infection and may also affect immunocompetent patients. The available…”
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  3. 3

    GEOSTATISTICAL MODELING OF SOYBEAN YIELD AND SOIL CHEMICAL ATTRIBUTES USING SPATIAL BOOTSTRAP by Dalposso, Gustavo H., Uribe-Opazo, Miguel A., Johann, Jerry A., Bastiani, Fernanda De, Galea, Manuel

    Published in Engenharia agrícola (01-06-2019)
    “…ABSTRACT The goal of this study was to use the spatial bootstrap method to model the spatial dependence structure of soybean yield and soil chemical attributes…”
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  4. 4

    GAUSSIAN SPATIAL LINEAR MODEL OF SOYBEAN YIELD USING BOOTSTRAP METHODS by Dalposso, Gustavo H., Uribe-Opazo, Miguel A., Johann, Jerry A., Galea, Manuel, Bastiani, Fernanda De

    Published in Engenharia agrícola (01-01-2018)
    “…ABSTRACT This study aims to quantify the uncertainties associated to the parameters of a Gaussian spatial linear model (GSLM) and the assumption of normality…”
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  5. 5

    Soybean yield maps using regular and optimized sample with different configurations by simulated annealing by Guedes, Luciana P. C., Ribeiro Junior, Paulo J., Uribe-opazo, Miguel A., Bastiani, Fernanda de

    Published in Engenharia agrícola (01-02-2016)
    “…ABSTRACT This study aimed to compare thematic maps of soybean yield for different sampling grids, using geostatistical methods (semivariance function and…”
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  6. 6

    Alginate nanoparticles as non-toxic delivery system for miltefosine in the treatment of candidiasis and cryptococcosis by Spadari, Cristina de Castro, de Bastiani, Fernanda Walt Mendes da Silva, Lopes, Luciana Biagini, Ishida, Kelly

    Published in International journal of nanomedicine (01-01-2019)
    “…Previous studies indicate that miltefosine (MFS) may be an alternative as an antifungal agent; however, it presents several adverse effects. Thus, the aim of…”
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    TÉCNICAS PARA DETECÇÃO DE PONTOS INFLUENTES EM VARIÁVEIS CONTÍNUAS REGIONALIZADAS by Jonathan Richetti, Miguel A. Uribe-Opazo, Fernanda de Bastiani, Jerry Adriani Johann

    Published in Engenharia agrícola (01-02-2016)
    “…RESUMO Na análise de dados espaciais em agricultura, a presença de pontos influentes pode alterar consideravelmente os resultados das análises de dependência…”
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  9. 9

    Comparação de mapas temáticos de diferentes grades amostrais para a produtividade da soja by Franciele B. F. Kestring, Luciana P. C. Guedes, Fernanda de Bastiani, Miguel A. Uribe-Opazo

    Published in Engenharia agrícola (01-08-2015)
    “…RESUMO Este trabalho teve como objetivo comparar mapas temáticos construídos a partir de conjuntos de dados referentes à produtividade da soja, com diferentes…”
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    Influence diagnostics in elliptical spatial linear models by De Bastiani, Fernanda, Mariz de Aquino Cysneiros, Audrey Helen, Uribe-Opazo, Miguel Angel, Galea, Manuel

    Published in Test (Madrid, Spain) (01-06-2015)
    “…In recent years, there has been a growing interest in statistical methods for the analysis of spatially referenced data. The spatial dependence structure…”
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  12. 12

    Statistical methods for identifying anisotropy in the Spodoptera frugiperda spatial distribution by Nava, Daniela T., Nicolis, Orietta, Uribe-Opazo, Miguel A., De Bastiani, Fernanda

    “…Corn is a very important agricultural product, however, some pests may cause damage to the corn productivity such as Spodoptera frugiperda, which prevents the…”
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  13. 13

    Comparison of maps of spatial variability of soil resistance to penetration constructed with and without covariables using a spatial linear model by Bastiani, Fernanda de, Uribe-Opazo, Miguel A., Dalposso, Gustavo H.

    Published in Engenharia agrícola (01-04-2012)
    “…A study about the spatial variability of data of soil resistance to penetration (RSP) was conducted at layers 0.0-0.1 m, 0.1-0.2 m and 0.2-0.3 m depth, using…”
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  14. 14

    Aspectos espacial e temporal e fatores associados à interiorização da Covid-19 em Pernambuco, Brasil by Quinino, Louisiana Regadas de Macedo, Vasconcellos, Flávia Helena Manhães, Diniz, Isabel Soares, Aguiar, Lucilene Rafael, Ramos, Yasmim Talita de Moraes, Bastiani, Fernanda De

    Published in Ciência & saude coletiva (01-06-2021)
    “…Resumo Análise espacial e temporal da interiorização da Covid-19 em Pernambuco, considerando-se os fatores socioeconômicos correlacionados. Estudo ecológico,…”
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  15. 15

    Bivariate spatial statistics applied to precipitation and off-season corn yield in the state of Paraná, Brazil by Gamero, Paulo, Uribe-Opazo, Miguel Angel, De Bastiani, Fernanda, Johann, Jerry Adriani

    Published in Hydrological sciences journal (10-09-2022)
    “…The state of Paraná is one of the largest corn producers in Brazil, cultivating in two growing seasons. This study evaluated bivariate correlations between…”
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  16. 16

    Disclosing contrasting scenarios for future land cover in Brazil: Results from a high-resolution spatiotemporal model by Fendrich, Arthur Nicolaus, Barretto, Alberto, de Faria, Vinícius Guidotti, de Bastiani, Fernanda, Tenneson, Karis, Guedes Pinto, Luis Fernando, Sparovek, Gerd

    Published in The Science of the total environment (10-11-2020)
    “…Gaining information on the dynamics of land cover changes is a valuable step towards improving practical conservation actions. In recent years, the Brazilian…”
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  17. 17

    Selection Criterion of Working Correlation Structure for Spatially Correlated Data by dos Santos, Marcelo, De Bastiani, Fernanda, Uribe-Opazo, Miguel A., Galea, Manuel

    Published in The American statistician (03-07-2023)
    “…To obtain regression parameter estimates in generalized estimation equation modeling, whether in longitudinal or spatially correlated data, it is necessary to…”
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    Exploratory spatial analysis for interval data: A new autocorrelation index with COVID-19 and rent price applications by Freitas, Wanessa W.L., de Souza, Renata M.C.R., Amaral, Getúlio J.A., De Bastiani, Fernanda

    Published in Expert systems with applications (01-06-2022)
    “…This paper aims to identify the behavior of interval data associated to its respective geospatial information with in the framework of Symbolic Data Analysis…”
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    P-splines and GAMLSS: a powerful combination, with an application to zero-adjusted distributions by Stasinopoulos, Dimitrios M., Rigby, Robert A., Heller, Gillian Z., De Bastiani, Fernanda

    Published in Statistical modelling (01-10-2023)
    “…P-splines are a versatile statistical modelling tool, dealing with nonlinear relationships between the response and explanatory variable(s). GAMLSS is a…”
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    Generalised exponential-Gaussian distribution: a method for neural reaction time analysis by Marmolejo-Ramos, Fernando, Barrera-Causil, Carlos, Kuang, Shenbing, Fazlali, Zeinab, Wegener, Detlef, Kneib, Thomas, De Bastiani, Fernanda, Martinez-Flórez, Guillermo

    Published in Cognitive neurodynamics (01-02-2023)
    “…Reaction times (RTs) are an essential metric used for understanding the link between brain and behaviour. As research is reaffirming the tight coupling between…”
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