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Números de ensaios, observações e variáveis na correlação canônica em centeio
(Universidade Federal de Santa MariaBrasilAgronomiaUFSMPrograma de Pós-Graduação em AgronomiaCentro de Ciências Rurais, 2022-02-25)
Multivariate techniques are important analysis tools for understanding the object of study. For greater reliability in the interpretations of models, the correct sample size is necessary. Little has been explored about the ...
Tamanho de amostra para avaliar a multicolinearidade em caracteres de cultivares de centeio
(Universidade Federal de Santa MariaBrasilAgronomiaUFSMPrograma de Pós-Graduação em AgronomiaCentro de Ciências Rurais, 2019-02-21)
The aim of this work was to determine the sample size (number of plants) necessary to estimate the indicators of the degree of multicollinearity - condition number (NC), determinant of correlation matrix (DET) and variance ...
Multicollinearity problem in econometrics
(2008-12-02)
Multicollinearity and financial constraint in investment decisions: a bayesian generalized ridge regression
(2011)
This paper addresses the investment decisions considering the presence of financial constraints of 373 large Brazilian firms from 1997 to 2004, using panel data. A Bayesian econometric model was used considering ridge ...
Use of ridge regression for the prediction of early growth performance in crossbred calves
(Sociedade Brasileira de Genética, 2007-01-01)
The problem of multicollinearity in regression analysis was studied. Ridge regression (RR) techniques were used to estimate parameters affecting the performance of crossbred calves raised in tropical and subtropical regions ...
Use of ridge regression for the prediction of early growth performance in crossbred calves
(Sociedade Brasileira de Genética, 2007-01-01)
The problem of multicollinearity in regression analysis was studied. Ridge regression (RR) techniques were used to estimate parameters affecting the performance of crossbred calves raised in tropical and subtropical regions ...
Use of ridge regression for the prediction of early growth performance in crossbred calves
(Soc Brasil Genetica, 2007-09-01)
The problem of multicollinearity in regression analysis was studied. Ridge regression (RR) techniques were used to estimate parameters affecting the performance of crossbred calves raised in tropical and subtropical regions ...
Use of ridge regression for the prediction of early growth performance in crossbred calves
(Sociedade Brasileira de Genética, 2014)
Não-normalidade multivariada e multicolinearidade em análise de trilha na cultura de milho
(Universidade Federal de Santa MariaBRAgronomiaUFSMPrograma de Pós-Graduação em Agronomia, 2012-02-16)
The path analysis allows evaluation of the direct and indirect effects of the explicative variables on variable of interest, through the breakdown of the correlation coefficients. In order to make the results obtained ...