Search Results - "Ribeiro Junior, Paulo Justiniano"

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  1. 1

    On distribution selection under ranked set sampling schemes by Riffel, Vinicius Ricardo, Taconeli, Cesar Augusto, Junior, Paulo Justiniano Ribeiro

    “…Distribution selection plays a key role in parametric statistics. Choosing one from a set of candidate distributions that best fits the sample data is a…”
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    Journal Article
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    Survival analysis: a tool in the study of post-harvest diseases in peaches by Nesi, Cristiano Nunes, Shimakura, Silvia Emiko, Ribeiro Junior, Paulo Justiniano, Mio, Louise Larissa May De

    Published in Revista Ceres (01-02-2015)
    “…Survival analysis is applied when the time until the occurrence of an event is of interest. Such data are routinely collected in plant diseases, although…”
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    Journal Article
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    COMPARISON OF EXPONENTIAL COVARIANCE FUNCTIONS FOR BIVARIATE GEOSTATISTICAL DATA by RIBEIRO, Angélica Maria Tortola, RIBEIRO JÚNIOR, Paulo Justiniano, BONAT, Wagner Hugo

    Published in Revista Brasileira de Biometria (26-04-2021)
    “…In the analysis of multivariate spatial random elds, it is essential to dene a covariance structure that adequately models the relationship between the…”
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  4. 4

    Agrosilvopastoral system enhances suppressiveness to soybean damping-off caused by Rhizoctonia solani and alters Fusarium and Trichoderma population density by Roese, Alexandre Dinnys, Ribeiro Junior, Paulo Justiniano, Porfírio-da-Silva, Vanderley, May De Mio, Louise Larissa

    Published in Acta scientiarum. Agronomy (01-01-2018)
    “…Integrated crop-livestock systems (ICLS) are sustainable options for agricultural diversification, but there have been few studies on the influence of ICLS on…”
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  5. 5

    A Kronecker-based covariance specification for spatially continuous multivariate data by Ribeiro, Angélica Maria Tortola, Ribeiro Junior, Paulo Justiniano, Bonat, Wagner Hugo

    “…We propose a covariance specification for modeling spatially continuous multivariate data. This model is based on a reformulation of Kronecker’s product of…”
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    Verossimilhança na seleção de modelos para predição espacial by Cristiano Nunes Nesi, Andressa Ribeiro, Wagner Hugo Bonat, Paulo Justiniano Ribeiro Junior

    Published in Revista Brasileira de Ciência do Solo (01-04-2013)
    “…Na modelagem estatística da variabilidade espacial, estimam-se os parâmetros da dependência espacial, que são utilizados na interpolação de valores em locais…”
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  7. 7

    A multinomial generalized linear mixed model for clustered competing risks data by Laureano, Henrique Aparecido, Petterle, Ricardo Rasmussen, Silva, Guilherme Parreira da, Ribeiro Junior, Paulo Justiniano, Bonat, Wagner Hugo

    Published in Computational statistics (01-05-2024)
    “…Clustered competing risks data are a complex failure time data scheme. Its main characteristics are the cluster structure, which implies a latent…”
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  8. 8

    OFICINAS IN ON-LINE: INTERVENÇÃO GRUPAL COMO POTENCIALIZAÇÃO DE ATIVIDADES CRIATIVAS DE INCLUSÃO NO CONTEXTO UNIVERSITÁRIO by Maria Angélica de Moura Bueno, Regina Célia Titotto Castanharo, Paulo Justiniano Ribeiro Júnior

    Published in New trends in qualitative research (01-10-2023)
    “…Devido à pandemia da Covid-19, desde 2020 as Universidades foram obrigados a cancelar as atividades presenciais e implementarem atividades EaD em modalidades…”
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  9. 9

    Likelihood analysis for a class of spatial geostatistical compositional models by Martins, Ana Beatriz Tozo, Bonat, Wagner Hugo, Junior, Paulo Justiniano Ribeiro

    Published 21-06-2016
    “…We propose a model-based geostatistical approach to deal with regionalized compositions. We combine the additive-log-ratio transformation with multivariate…”
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    ABORDAGEM BORROW STRENGHT APLICADA A MODELO GEOESTATÍSTICO PARA ESTIMATIVA DE VOLUME by Julio Cesar Wojciechowski, Julio Eduardo Arce, Saulo Henrique Weber, Paulo Justiniano Ribeiro Junior, Carlos Alberto da Fonseca Pires

    Published in Ciência florestal (01-01-2017)
    “…This study aimed to use the share parameters of the geo-statistical models applied to maximum likelihood estimators to predict the volumes per hectare in three…”
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    Journal Article
  12. 12

    Multivariate Generalized Linear Mixed Models for Count Data by Parreira da Silva, Guilherme, Aparecido Laureano, Henrique, Rasmussen Petterle, Ricardo, Justiniano Ribeiro Júnior, Paulo, Hugo Bonat, Wagner

    “…Univariate regression models have rich literature for counting data. However, this is not the case for multivariate count data. Therefore, we present the…”
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  13. 13

    Verossimilhança na seleção de modelos para predição espacial by Nesi, Cristiano Nunes, Ribeiro, Andressa, Bonat, Wagner Hugo, Ribeiro Junior, Paulo Justiniano

    Published in Revista brasileira de ciência do solo (01-04-2013)
    “…Na modelagem estatística da variabilidade espacial, estimam-se os parâmetros da dependência espacial, que são utilizados na interpolação de valores em locais…”
    Get full text
    Journal Article
  14. 14

    Verossimilhança na seleção de modelos para predição espacial Likelihood in the selection of models for spatial prediction by Cristiano Nunes Nesi, Andressa Ribeiro, Wagner Hugo Bonat, Paulo Justiniano Ribeiro Junior

    Published in Revista brasileira de ciência do solo (01-04-2013)
    “…Na modelagem estatística da variabilidade espacial, estimam-se os parâmetros da dependência espacial, que são utilizados na interpolação de valores em locais…”
    Get full text
    Journal Article
  15. 15

    Multivariate generalized linear mixed models for underdispersed count data by da Silva, Guilherme Parreira, Laureano, Henrique Aparecido, Petterle, Ricardo Rasmussen, Júnior, Paulo Justiniano Ribeiro, Bonat, Wagner Hugo

    Published 21-05-2022
    “…Researchers are often interested in understanding the relationship between a set of covariates and a set of response variables. To achieve this goal, the use…”
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    ABORDAGEM BORROW STRENGHT APLICADA A MODELO GEOESTATÍSTICO PARA ESTIMATIVA DE VOLUME by Wojciechowski, Julio Cesar, Arce, Julio Eduardo, Weber, Saulo Henrique, Ribeiro Junior, Paulo Justiniano, Pires, Carlos Alberto da Fonseca

    Published in Ciência florestal (26-07-2018)
    “…O presente estudo teve como objetivo utilizar o compartilhamento de parâmetros de modelos geoestatísticos aplicado aos estimadores de máxima verossimilhança…”
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    Borrow strength approach applied to a geostatistical model to estimate volume/Abordagem borrow strenght aplicada a modelo geoestatistico para estimativa de volume by Wojciechowski, Julio Cesar, Arce, Julio Eduardo, Weber, Saulo Henrique, Ribeiro, Paulo Justiniano, Junior, Pires, Carlos Alberto da Fonseca

    Published in Ciência florestal (01-04-2017)
    “…This study aimed to use the share parameters of the geo-statistical models applied to maximum likelihood estimators to predict the volumes per hectare in three…”
    Get full text
    Journal Article
  19. 19

    Borrow strength approach applied to a geostatistical model to estimate volume/Abordagem borrow strenght aplicada a modelo geoestatistico para estimativa de volume by Wojciechowski, Julio Cesar, Arce, Julio Eduardo, Weber, Saulo Henrique, Ribeiro, Paulo Justiniano, Junior, Pires, Carlos Alberto da Fonseca

    Published in Ciência florestal (01-04-2017)
    “…This study aimed to use the share parameters of the geo-statistical models applied to maximum likelihood estimators to predict the volumes per hectare in three…”
    Get full text
    Journal Article
  20. 20

    ABORDAGEM BORROW STRENGHT APLICADA A MODELO GEOESTATÍSTICO PARA ESTIMATIVA DE VOLUME by Wojciechowski, Julio Cesar, Arce, Julio Eduardo, Weber, Saulo Henrique, Ribeiro Junior, Paulo Justiniano, Pires, Carlos Alberto da Fonseca

    Published in Ciência florestal (29-06-2017)
    “…O presente estudo teve como objetivo utilizar o compartilhamento de parâmetros de modelos geoestatísticos aplicado aos estimadores de máxima verossimilhança…”
    Get full text
    Journal Article