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The MSE of the phase estimation is computed as an average over all MSE of the phase estimates in the model.
The use of ASDFPs as inputs significantly improved α estimates in the model.
To improve the robustness of the retrieved properties, REGFLEC was modified to 1) correct for aerosol and adjacency effects, 2) consider foliar dust effects on modeled canopy reflectances, 3) include spectral information in the red-edge wavelength region, and 4) exploit empirical LAI estimates in the model inversion.
All estimates in the model were significant at p < 0.001, unless otherwise stated.
There were significant sex differences in the size of the estimates in the model.
The child specific F-scores for the intercept and linear factors are equivalent to the respective random effects estimates in the model in the previous section.
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The portfolio return estimates in the models appear to be accurate when put to the real world test.
Positive estimates in the models indicate that the chance of injury or fatal crash increases as the value of the independent variables increases.
We used both 6.5 and 8.5 MJ/kg estimates in the models.
Parameter estimates in the models were used to calculate the gains in life expectancy attributable to the selected socioeconomic factors.
The respective estimates in the models including tar yield, nicotine yield, tar or nicotine intake differ slightly and are almost equal.
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