Selection of linear mixed models to estimate the amount of zinc (KG/HA) on jalo bean

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorBarbosa, Michele-
Autor(es): dc.creatorFerreira, Leila Maria-
Autor(es): dc.creatorSilva, Laís Mesquita-
Autor(es): dc.creatorMoraes, Augusto Ramalho de-
Data de aceite: dc.date.accessioned2026-02-09T11:35:23Z-
Data de disponibilização: dc.date.available2026-02-09T11:35:23Z-
Data de envio: dc.date.issued2019-06-13-
Data de envio: dc.date.issued2019-06-13-
Data de envio: dc.date.issued2018-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/34769-
Fonte completa do material: dc.identifierhttp://www.ijeijournal.com/papers/Vol.7-Iss.5/B07050409.pdf-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1143016-
Descrição: dc.descriptionThe focus of the work was to develop a mixed linear model for estimating the amount of Zinc (kg/ha), considering two factors: time and planting Density. The selected model were included random effects intercept and time, beyond the ARH(1) covariance structure Autoregressive with heterogeneity of variances, managing and explain the correlations and heterogeneity of variances in different levels of planting Density. To compare the models used the criteria of AIC and BIC.-
Idioma: dc.languageen-
Publicador: dc.publisherInternational Journal of Engineering Inventions-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceInternational Journal of Engineering Inventions-
Palavras-chave: dc.subjectCovariance structure-
Palavras-chave: dc.subjectMixed linear model-
Palavras-chave: dc.subjectSoftware R-
Título: dc.titleSelection of linear mixed models to estimate the amount of zinc (KG/HA) on jalo bean-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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