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The structures of these copolymers were analysed by Fourier transform infra-red and nuclear magnetic resonance spectroscopies while their molecular weights were estimated by static light scattering.
Index weights were estimated from the multi-trait selection model.
Molecular weights were estimated using a pre-stained Roti®-Mark BICOLOR marker.
The weights were estimated using training samples and automatically adapted to testing data.
The β weights were estimated from the experimental data using logistic regression to produce β=[−1.85,21.20,0.41].
Their molecular weights were estimated to about 28 and 36 kDa, respectively, when comparing with the molecular weight marker.
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The 'optimal integration weights' are estimated in the training/validation stage.
Algorithm's weights are estimated on the plots position for each OFDM symbol containing pilots.
The optimal integration weights are estimated using a multi-normalization framework [14].
The integration weights are estimated in such a way that it maximizes the recognition accuracy.
The weights are estimated using the least squared method as hat{omega} = left(X' Xright)^{-1} X' Y.
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