2007
DOI: 10.1590/s0103-90162007000500013
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A study of in situ degradability: heterogeneity of variances and correlated errors

Abstract: Degradation models exhibit a non-linear behavior and the selection of a model to describe the degradability depends on the coherence of the model with the involved biological events. The purpose of this study is to evaluate the behavior of the parameters of the degradation model proposed by Mertens & Loften, adjusted to the results of an in situ degradability trial. The experiment evaluated the potential degradable residue of neutral detergent fiber (NDF) of coastcross grass (Cynodon dactylon × Cynodon nlemfue… Show more

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Cited by 10 publications
(8 citation statements)
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“…The least squares estimates of the parameters were obtained using the Gauss-Newton iterative method and performing residual regression by fi rst derivatives of nonlinear model parameters, until convergence was achieved (SAVIAN & MUNIZ, 2007). The most parsimonious model to describe germination was identifi ed using the accuracy of adjustments according to the following criteria (ZEVIANI et al, 2012): adjusted coeffi cient of determination (R 2 aj ) -the larger was the value of R 2 aj…”
Section: Methodsmentioning
confidence: 99%
“…The least squares estimates of the parameters were obtained using the Gauss-Newton iterative method and performing residual regression by fi rst derivatives of nonlinear model parameters, until convergence was achieved (SAVIAN & MUNIZ, 2007). The most parsimonious model to describe germination was identifi ed using the accuracy of adjustments according to the following criteria (ZEVIANI et al, 2012): adjusted coeffi cient of determination (R 2 aj ) -the larger was the value of R 2 aj…”
Section: Methodsmentioning
confidence: 99%
“…The estimates may be biased and estimation of errors may be overestimated or underestimated when these assumptions are not considered (MAZZINI et al, 2005;MUNIZ, 2007;MENDES et al, 2008;CARNEIRO, et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…The commonest among the iterative procedures is the non-linear regression Gauss-Newton algorithm (DRAPER & SMITH, 2014;SAVIAN & MUNIZ, 2007). The aim of this work was to evaluate the possibility of utilizing the nonlinear regression models to describe the growth and identification of the harvest point, based on the visible physical characteristics viz., length (mm), diameter (mm) and fresh weight (g) of the Shinseiki pear variety.…”
Section: Introductionmentioning
confidence: 99%