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

Barbosa, Michele; Ferreira, Leila Maria; Silva, Laís Mesquita; Moraes, Augusto Ramalho de

Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/34769

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DC Field	Value	Language
dc.creator	Barbosa, Michele	-
dc.creator	Ferreira, Leila Maria	-
dc.creator	Silva, Laís Mesquita	-
dc.creator	Moraes, Augusto Ramalho de	-
dc.date.accessioned	2019-06-13T17:54:48Z	-
dc.date.available	2019-06-13T17:54:48Z	-
dc.date.issued	2018	-
dc.identifier.citation	BARBOSA, M. et al. Selection of linear mixed models to estimate the amount of zinc (KG/HA) on jalo bean. International Journal of Engineering Inventions, [S.l.], v. 7, n. 5, p. 4-9, 2018.	pt_BR
dc.identifier.uri	http://www.ijeijournal.com/papers/Vol.7-Iss.5/B07050409.pdf	pt_BR
dc.identifier.uri	http://repositorio.ufla.br/jspui/handle/1/34769	-
dc.description.abstract	The 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.	pt_BR
dc.language	en_US	pt_BR
dc.publisher	International Journal of Engineering Inventions	pt_BR
dc.rights	restrictAccess	pt_BR
dc.source	International Journal of Engineering Inventions	pt_BR
dc.subject	Covariance structure	pt_BR
dc.subject	Mixed linear model	pt_BR
dc.subject	Software R	pt_BR
dc.title	Selection of linear mixed models to estimate the amount of zinc (KG/HA) on jalo bean	pt_BR
dc.type	Artigo	pt_BR
Appears in Collections:	DES - Artigos publicados em periódicos

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