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As observed above, we found that a combination of the relaxation times estimated by the simultaneous estimation of the three components of the four stations could be universally applied to GNSS stations in the region.
Moreover, our approach allows the joint estimation of the three parameters.
The results of the estimation of the three SEMs are presented in the following figure and tables.
We critically compare the properties and the estimation of the three models and discuss several shortcomings and possible improvements.
The current study deals with two simple and sensitive methods for the simultaneous estimation of the three analytes included in this tablet preparation.
The accurate prediction of depth averaged velocity and boundary shear stress depends on proper estimation of the three calibration parameters in SKM model (i.e. f, λ, and Г) and specifying the appropriate boundary conditions.
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Implementation of the QPL approach using SAS code available from http://dir.niehs.nih.gov/dirbb/weinbergfiles/qpl.htm (data not shown) indicates that estimation of these two inestimable α′12 and a120 parameters is poor, with very large estimates and confidence intervals, although this does not appear to adversely affect estimation of the six genuinely estimable parameters.
This is brash, but hardly brave; as an estimation of "the two best writers around," it is rather quaint.
The difference in the estimation of the two methods is shown in Figure 16b.
This is because there is a fundamental difference in location estimation of the two algorithms.
Then, the proposed BBO-M is applied to the model parameter estimation of the two type of cells.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com