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Modeling citrus huanglongbing data using a zero-inflated negative binomial distribution 1
Almeida, Eudmar Paiva de; Janeiro, Vanderly; Guedes, Terezinha Aparecida; Mulati, Fabio; Carneiro, José Walter Pedroza; Nunes, Willian Mario de Carvalho.
Zero-inflated data from field experiments can be problematic, as these data require the use of specific statistical models during the analysis process. This study utilized the zero-inflated negative binomial (ZINB) model with the log- and logistic-link functions to describe the incidence of plants with Huanglongbing (HLB, caused by Candidatus liberibacter spp.) in commercial citrus orchards in the Northwestern Parana State, Brazil. Each orchard was evaluated at different times. The ZINB model with random effects in both link functions provided the best fit, as the inclusion of these effects accounted for variations between orchards and the numbers of diseased plants. The results of this model show that older plants exhibit a lower probability of acquiring...
Tipo: Info:eu-repo/semantics/article Palavras-chave: 1.02.00.00-2; 5.00.00.00-4 mixed model; Random effect; BLUP method; EM algorithm 1.02.03.00-1; 5.01.02.00-1.
Ano: 2016 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/28689
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Modeling the incidence of citrus canker in leaves of the sweet orange variety ‘Pera’ 1
Pompeu, Danielle da Silva; Guedes, Terezinha Aparecida; Janeiro, Vanderly; Gonçalves-Zuliane, Aline Maria Orbolato; Nunes, William Mario de Carvalho; Carneiro, José Walter Pedroza.
Citrus canker, caused by the bacterium Xanthomonas citri subsp. citri, is one of the most important diseases of citrus. The use of resistant genotypes plays an important role in the management and control of the disease and is the most environmentally sustainable approach to disease control. Citrus canker incidence was recorded in an experiment on nine genotypes of the sweet orange variety ‘Pera’ grafted on four rootstocks. The experiment was started in 2010 and the incidence of citrus canker on the leaves was recorded on a quarterly basis. The incidence data from the experiment were analyzed using a zero-inflated Beta regression model (RBIZ), which is the appropriate method to describe data with large numbers of zeros. Based on the residual analysis, the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: 5.00.00.00-4; 5.01.02.00-1; 1.00.00.00-3; 1.02.03.00-1 zero-inflated Beta distribution; Mixture models; Inflated Beta regression model; Modeling proportions Fitossanidade; Probabilidade e Estatística Aplicadas.
Ano: 2017 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/28535
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Stevia rebaudiana (Bert) Bertoni: regression models with mixed effects for investigating seed germination data 1
Pereira, Edilenia Queiroz; Janeiro, Vanderly; Guedes, Terezinha Aparecida; Carneiro, José Walter Pedroza.
We investigated regression models with mixed effects using generalized linear statistics to evaluate germination data from Stevia rebaudiana (Bert) Bertoni. Estimates and validation of statistical parameters were conducted using the “gamlss” package in the R software. Generalized linear mixed effects followed the binomial, the beta-binomial and the multinomial distribution with the logit link to explain data based on the following explanatory variables: seed germinator, plastic tray position on every tier of shelves, illuminance conditions (light and darkness) and seed lots. We did not find differences in proportional responses from seed germinators, but we did find differences in the illuminance conditions, plastic tray position on the tiers of shelves in...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Binomial; Beta-binomial; Multinomial; Gamlss; Mixed effects.; Estatistica aplicada.
Ano: 2018 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39609
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Stevia rebaudiana (Bert) Bertoni: regression models with mixed effects for investigating seed germination data 1
Pereira, Edilenia Queiroz; Janeiro, Vanderly; Guedes, Terezinha Aparecida; Carneiro, José Walter Pedroza.
We investigated regression models with mixed effects using generalized linear statistics to evaluate germination data from Stevia rebaudiana (Bert) Bertoni. Estimates and validation of statistical parameters were conducted using the “gamlss” package in the R software. Generalized linear mixed effects followed the binomial, the beta-binomial and the multinomial distribution with the logit link to explain data based on the following explanatory variables: seed germinator, plastic tray position on every tier of shelves, illuminance conditions (light and darkness) and seed lots. We did not find differences in proportional responses from seed germinators, but we did find differences in the illuminance conditions, plastic tray position on the tiers of shelves in...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Binomial; Beta-binomial; Multinomial; Gamlss; Mixed effects. Estatistica aplicada.
Ano: 2018 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39609
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