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The results show that the consideration of spatio-temporal variations of wind shear model parameters achieved improve performance over the application of the empirical or yearly-averaged wind shear model parameters in extrapolating the wind speed.
The values of the model parameters achieved at the convergence of the predicted and measured spectra became the outcomes of the interpretation analysis.
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Model parameters achieving the global maximum of the likelihood function were used for projections.
The estimation of the model parameters was achieved by applying the inversion method.
The estimation of model parameters was achieved using a Levenberg-Marquardt fitting algorithm.
Estimation of the multivariate path model parameters is achieved by the ordinary least square method [ 24, 25] applied separately to each model (univariate or multivariate, as appropriate) for all variables except ln(Y) = ln WTH-21).
The X-ray calibration data then were used to validate this model and to make minor adjustments in model parameters to achieve satisfactory agreement with the observations.
The control property is demonstrated by manipulating model parameters to achieve a management goal.
stdev" parameters achieved.
We show that the "least-treatment-combinations" methods developed for identifying a minimal set of m treatment combinations for a 2k model with only m non-zero parameters achieve this goal.
These candidate models represent competing hypotheses about which of the above factors were important in explaining variation in the travel speed data [15]; "importance" is assessed by the balance of goodness-of-fit of the model to the data and the number of model parameters required to achieve that fit.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com