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In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or more independent variables.
Different exposure indices were estimated using nonlinearregression and Bayesian estimation.
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The CM Functions and adjustment functions were developed using linear and nonlinearregression models.
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The nonlinearregression algorithm is based on that of Gauss-Newton.
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A dedicated nonlinearregression based curve-fitting packages has been developed for quantitative analysis of beta-adrenoceptor subtypes.
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Pharmacokinetic and pharmacodynamic modeling were performed subject by subject for the 4 doses altogether by nonlinearregression.
Usage of non-linear regression in anglès
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Linear and non-linearregression methods were compared to determine the best fitting of isotherm and kinetic model to experimental data.
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The relative volume of the stained region was correlated with the number of loading cycles by non-linearregression using a power-law.
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Data analyses employed ANOVAs and non-linearregressions.
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The intrinsic kinetic parameters are also determined by comparing predicted values to those of the experimental results by applying non-linearregressions.