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The data was analyzed by curve fitting to a one-site binding model using a nonlinear regression.
A saturation hyperbola with onset age was fitted to the audiometric threshold-on-age data using a nonlinear regression method.
The isotherm data were correlated with six isotherm models, namely Langmuir, Freundlich, Redlich Peterson, Radke Prausnitz, Toth, and Fritz Schlunder's using a nonlinear regression technique.
The matrix of intraparticle mass transfer coefficients for competitive adsorption of two dissolved organic components on activated carbon is determined from kinetic curves obtained in a continuous stirred tank adsorber using a nonlinear regression method.
Analysis of enzyme kinetics, using a nonlinear regression curve, identified that, at constant cGMP levels (10 μM) and varying ATP concentrations, PKG-1α had a maximal velocity (Vmax) of 5.02 ± 0.25 pmol/min/μg and a Michaelis Menten constant (Km) of 11.78 ± 2.68 μM ATP.
The data were analyzed by curve fitting to a one-site binding model using a nonlinear regression.
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The estimation of parameters for the functional representation uses a nonlinear regression performed by an artificial feed-forward neural network.
First, we used a nonlinear regression routine ('nls') to fit Equation 1 to the metamorphosis versus copper data to quantify Mx, EC50 and w at each temperature.
Three of the estimators rely to varying degrees on maps that were constructed using a nonlinear logistic regression model, forest inventory data, and lidar data.
For each of the four individuals selected in a test, we determined the killing temperature using a nonlinear sigmoid regression of the form where t is temperature; a, b, and c are estimated parameters, such that a is the upper asymptote and (ln(b))/ c, the inflection point of the curve, is the killing temperature.
For the Boltzman fit to the azimuthal head-turn angles (dependent variable) as shown in Figure 3, we estimated the lower asymptote, A1, and the upper asymptote, A2, from the azimuthal head-turn angles using a nonlinear least squares regression.
More suggestions(15)
using a nonlinear design
using a nonlinear waveform
using a nonlinear analysis
using a nonlinear system
using a multivariable regression
using a nonlinear scalarization
using a nonlinear observer
using a generalized regression
using a nonlinear structure
using a nonlinear simulation
using a nonlinear feedback
using a nonlinear filter
using a nonlinear transformation
using a logarithmic regression
using a nonlinear gradient
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