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The relationship between the relative fracture energy and the number of F/T cycles is established using the nonlinear regression analyses.
The relationships between the responses (i.e., outputs) were established by generating large volumes of input output data using the nonlinear regression models.
The kinetic and adsorption constants of the rate equations were estimated by the best fit using the nonlinear regression method.
The best-fit to the data by three linear regions was found using the nonlinear regression function 'nlinfit' in the MATLAB environment, therefore determining the crossover points.
These analyses and those that follow were conducted using the nonlinear regression (nls) routine in R v2.8.1 [39] and the bbmle [40] package.
Kinetic parameters were determined using the nonlinear regression hyperbolic fit to the Michaelis-Menten equation.
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Blood concentrations of mercuric sulphate were analyzed using the nonlinear regression package WinNonlin (Pharsight Corporation, Mountain View, CA, USA).
To date, there has been no methods for measurement error correction used in the nonlinear regression models and assessing health effects of multiple predicted pollutants exposure [ 65].
In this study, a possible improvement of conventional pressure transient and tracer test analysis by integrating them using the nonlinear least square (LS) regression method is investigated.
Binding curves were generated, and dissociation constants (KD) were calculated from the nonlinear regression curve using GraphPad Prism.
When the data are analyzed using standard curve analysis software (SigmaPlot) the nonlinear regression indicates a very good fit (R = 0.997).
More suggestions(15)
using the nonlinear slab
using the nonlinear pushover
using the enhanced regression
using the multivariate regression
using the corresponding regression
using the nonlinear ring
using the nonlinear modulation
using the nonlinear warping
using the nonlinear fiber
using the nonlinear registration
using the logistic regression
using the nonlinear scalarization
using the nonlinear property
using the augmented regression
using the nonlinear analysis
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