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Then, we prove the error estimation of the method.
A posteriori error estimation of the method in the weighted L 2 -norm was obtained.
The error estimation of the method in the weighted L 2 -norm was obtained.
A posteriori error estimation of the method in the weighted L 2 -norm as a main result of the paper is given in Section 3.
In this section we give a prior error estimation of the method proposed above and derive computable lower bounds for the constant β in numerical flux functions in order to guarantee the stability and convergence of this method.
In this work, we present Part I of our ongoing study, the validation of an analytical method based on ultrasonic extraction of the target analytes from various freshwater sediments and the estimation of the method measurement uncertainty.
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In summary, we present an accurate and universal procedure for quantitative and qualitative estimation of the methods of microarray data analysis.
This comment assesses the consequences for biomass estimations of the method presented by Flombaum and Sala [Flombaum, P., Sala, O.E., 2007.
The estimation of g E t) and g I t) is quite accurate, and the presence of spikes does not degrade the estimation capabilities of the method.
Lets consider the gain error estimation of the conventional method.
Now, we give the error estimation of the numerical method given in the previous section.
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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