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Degree of multicollinearity and variables involved in linear dependence in additive-dominant models PAB
Petrini,Juliana; Dias,Raphael Antonio Prado; Pertile,Simone Fernanda Nedel; Eler,Joanir Pereira; Ferraz,José Bento Sterman; Mourão,Gerson Barreto.
The objective of this work was to assess the degree of multicollinearity and to identify the variables involved in linear dependence relations in additive-dominant models. Data of birth weight (n=141,567), yearling weight (n=58,124), and scrotal circumference (n=20,371) of Montana Tropical composite cattle were used. Diagnosis of multicollinearity was based on the variance inflation factor (VIF) and on the evaluation of the condition indexes and eigenvalues from the correlation matrix among explanatory variables. The first model studied (RM) included the fixed effect of dam age class at calving and the covariates associated to the direct and maternal additive and non-additive effects. The second model (R) included all the effects of the RM model except the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Bos taurus x Bos indicus; Animal breeding; Beef cattle; Correlation matrix; Crossbreeding; Variance inflation factor.
Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2012001200010
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Growth dynamics of young trees of Araucaria angustifolia and Pinus taeda PFB - Pesquisa Florestal Brasileira
Machado, Sebastião do Amaral; Figura, Marco Aurélio; Silva, Luís César Rodrigues da; Mendes Nascimento, Rodrigo Geroni; Quirino, Sandra Mara dos Santos; Téo, Saulo Jorge.
The objective of this research was to investigate the monthly growth rhythm of young trees of Araucaria angustifolia and Pinus taeda throughout the vegetative year and to establish its correlation with climatic variables. Monthly measurements of diameter and total height were carried out in one stand of A. angustifolia and two of Pinus taeda. Correlation matrices among the current monthly increments and the climatic variables indicated that the development of Pinus taeda is mostly affected by photoperiod and by minimum, average, and maximum temperatures, while A. angustifolia growth is affected mostly by minimum and average temperatures. doi: 10.4336/2010.pfb.30.62.165
Tipo: Info:eu-repo/semantics/article Palavras-chave: Monthly growth; Climatic variables; Correlation matrix; Cluster analysis. Crescimento mensal; Variáveis climáticas; Análise de agrupamento.
Ano: 2010 URL: http://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/170
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