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	Provedor de dados Agronomy (2) Autor Carneiro, José Walter Pedroza (2) Guedes, Terezinha Aparecida (2) Janeiro, Vanderly (2) Pereira, Edilenia Queiroz (2) Palavra-chave Beta-binomial (2) Binomial (2) Gamlss (2) Multinomial (2) Estatistica aplicada (1) Mixed effects. (1) Mixed effects. Estatistica aplicada (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2018 (2) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Stevia rebaudiana (Bert) Bertoni: regression models with mixed effects for investigating seed germination data Agronomy 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 Stevia rebaudiana (Bert) Bertoni: regression models with mixed effects for investigating seed germination data Agronomy 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 Registros recuperados: 2 Primeira ... 1 ... Última

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