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The results proved that the use of robust methods is advantageous in the estimation problems where noise and deviations are significant, such as in biological and medical applications.
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Spectral methods were advantageous at fast and non-reagent measurement.
If combined with parametric multichannel audio coders such as MPEG Surround, the proposed methods are advantageous over conventional methods in terms of perceived quality and computational complexity.
Hybrid methods are advantageous in the ability to use spatial information (ordinary kriging of residuals) and non-spatial information (multiple linear regression analysis and machine learning algorithms).
Boundary integral methods are advantageous when simulating viscous flow around rigid particles, due to the reduction in number of unknowns and straightforward handling of the geometry.
Although these methods are advantageous for mass production, the complete removal of epoxy and hydroxyl groups and defect generation are an unsolved problem at the present time, unlike the high quality pristine graphene.
To reveal this optical stimulating and recording methods are advantageous because of their high spatial and temporal resolutions [1], [2].
These strand-specific methods are advantageous for de novo transcriptome assembly, gene annotation and detection of potential antisense transcription.
Fluorescence-based methods are advantageous in binding assays, because they were found more suitable for fatty acid binding assays.
Even though the 'point-by-point' method proved to be superior, the other methods are advantageous, as they take weighted signal intensities into account.
These methods are advantageous because band absences (scores of 0) are excluded from the analyses, and there are also no assumptions of the Hardy Weinberg equilibrium.
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