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In model based studies, e.g. within the RO process model, estimation of Kw is therefore important.
In the second stage, filtered signals are used to provide the means for low-order approximate model estimation of both plant and disturbance dynamics.
Multivariate regression analyses comprised the following working steps [27]: Setting the framework for the regression model, estimation of the regression function, verification of the regression function and coefficients as well as verification of the underlying assumptions of the regression model.
Powerful animal model estimation of VA and VPE requires adequate dataset size and pedigree depth [71], but this is unlikely to be a limiting factor in our case since analyzing FPS as a male trait revealed a highly significant additive genetic component (similar to previous estimates, see [32], [72]).
According to the inclusion criteria, 359 Atlantic salmon farming sites were qualified for model estimation of this study.
However, XBSeq excels when background noise (non-exonic read counts) are higher due to the model estimation of true signal by removing the noise impact.
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Similarly, the regression model estimations of annual nitrate losses achieved an R2adj of 0.88 or higher for all management scenarios.
The experimental results are presented and compared to model estimations of damage progression and show good agreement.
Because of the complexity of the adopted models, estimation of this expected value through stochastic simulation is suggested and techniques for improvement of computational efficiency are discussed.
Investigation of dynamic properties of gene networks has three major tasks: development of mathematic models, estimation of the parameters in the models, and dynamic analysis.
Results from the final model, Model 4, were used in post-model estimation of predictive probability of PPH.
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