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The weights for different observation groups are determined through the variance component estimation (VCE) approach, and unknown coefficients are estimated through the least squares adjustment.
To compensate for the extremely sparse laser tracking, the number of estimation parameters are minimized, and only the atmospheric drag coefficients are estimated with various intervals.
Income difference coefficients are estimated by programme.
Bulk diffusion coefficients are estimated for several Cs impurity states.
Interdiffusion coefficients are estimated by analysing the measured diffusion profiles.
However, these coefficients are estimated accurately in stationary situations.
After the noise removal, the noise corrupted coefficients are estimated.
All coefficients are estimated by random-effect models.
Where the β i coefficients are estimated using least squares.
The interference coefficients are estimated by adaptive linear prediction.
For the different structure reaches, the roughness coefficients are estimated based on the hydraulic theory.
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