Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/34769
Title: Selection of linear mixed models to estimate the amount of zinc (KG/HA) on jalo bean
Keywords: Covariance structure
Mixed linear model
Software R
Issue Date: 2018
Publisher: International Journal of Engineering Inventions
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.
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.
URI: http://www.ijeijournal.com/papers/Vol.7-Iss.5/B07050409.pdf
http://repositorio.ufla.br/jspui/handle/1/34769
Appears in Collections:DES - Artigos publicados em periódicos

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