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In fact, in motion estimation, the distribution of the motion vectors has two main characters: enter-bias property and temporal-spatial correlation.
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Using the method of maximum likelihood estimation, we estimate the distribution parameters.
The maximum likelihood estimator (MLE) was preferred for estimation of the distribution parameters of the Weibull, Pearson-III and GPD.
Moreover, we also provide an impossibility result regarding the estimation of the distribution function of the adaptive LASSO estimator.
These corrections adjust biomass estimates for all SDT components relative to the current CRM, but because they are distributed to all SDT components in the estimation process, the distribution of biomass in each tree component remains the same.
Standard methods (e.g. DIN EN 10247:2007) are commonly used for estimation of the distribution of non-metallic inclusions.
This study tackles the accurate estimation for the distribution of NGH in porous medium, and provides an experimental basis for further study on NGH exploitation in the future.
Also, the performance of MEUF process was assessed through estimation of the distribution coefficient, vesicle loading and vesicle binding constants for both Cd+2 and p-cresol.
The method also allows estimation of the distribution of inversion tract lengths.
It gives estimation of the distribution of dry matter between the root and the shoot systems.
With this assumption, the estimation of the distribution parameters is not an issue because thousands of DCT coefficients are available.
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