Non-linear regression models for growth curves.

Non-linear regression models for growth curves.

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The objective of this study was to compare non-linear models fitted to the growth curves of quail to determine which model best describes their growth and check the similarity between models by analyzing parameter estimates.Weight and age data of meat-type European quail (Coturnix coturnix coturnix) of three lines were used, from an experiment in a...

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... non-linear models were used to estimate the quail's growth curve and the curve parameters (Table 1). To compare the growth models examined in this study, six goodness-of fit indicators were applied, as described next. ...
Context 2
... non-linear regression models (Table 1) were adjusted to the quail weight-age data using the PROC MODEL procedure of SAS software (SAS Institute 2002), via the ordinary least squares method with the Gauss-Newton algorithm. After the parameter estimates were estimated for each model, multivariate data sets were formed with the models corresponding to the units and the parameter estimates corresponding to the variables. ...

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