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These data are then used for model estimation.
Simulations need to be performed before hand, using for example the software used for model estimation.
Software R was used for stated choice experiment design, while software BIOGEME was used for model estimation based on the collected data.
A polynomial nonlinear state space model is estimated and validated over a range of measurements and yields better fits over a linear model, while the performance of either model depends on the perturbation signal used for model estimation.
Among the 18 years of hourly data, 16 years are used for model estimation and two years are used for out-of-sample model validation.
However, it should be noted that variables ({text{rgdpl}}) and ({text{rgdplch}}) (available in the PWT 7.0 dataset, also representing countries/regions' real GDP) can also be used for model estimation, and the results will be the same because they are just different methods of GDP estimation and are not significantly different from each other.
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The one-step methodology has been used for model parameter estimation by the S3DMM-based method, which simultaneously estimates the shape and pose parameters using a non-linear optimization algorithm [3, 17, 19].
Data regarding the effective concentrations of auxin for PIN1, PIN2 and PIN3 regulation from Vieten et al. (2005) (Fig. 1C, D) were used for model parameter estimation (see below).
The SAS procedure GLIMMIX was used for model fitting and estimation; random effects were normally distributed, a Dual Quasi-Newton optimization technique was used; and the estimation method was residual log pseudo-likelihood [ 24].
Literature data were used for model development and estimation of estrogen-related effects on bone markers and BMD.
The mathematical modeling and simulation software AcslXtreme (Aegis Technologies Group Inc., Huntsville, AL, USA) can be used for model simulations, parameter estimation, sensitivity analysis, and Monte Carlo analysis.
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