Exact(10)
Since the model for X with Zs and Y contains the parameters of interest, the weighted likelihood function can be iteratively maximized: estimating the weights using the current parameter estimates; and constructing the weighted likelihood function, which can then be maximized to update the parameter estimates.
There are two objectives for estimating the weights: to obtain minimal variance of estimation and to constrain the minimal variance objective.
Unifying the global common variables' effect on estimating the weights of the assessment items of all different methods among the world for different time periods helps saving the duplicated time and effort spent by experts around the world when designing new versions of the EAMBs.
A new method of estimating the weights of large-bodied animals hints that some dinosaurs may have been considerably lighter than scientists realized.
Therefore GPR applications can be extended beyond spatial interpolation to regression problems, estimating the weights of observed values form temporal lags and spatial points using the known covariance structures.
The constant b reflects the maximum error we are willing to commit when estimating the weights w.
Similar(50)
By estimating the weight coefficient, a reverse Hardy-Hilbert-type inequality is proved.
Next, a specific portion of the data stored (10%% as discussed above) is used for estimating the weighting coefficients of the predictor for L=2.
Estimating the weight of the item you want to hang from the ceiling will determine what size fastener you need.
The test dataset is used to estimate the weights and the significance of slope parameters is based on the validation data where the weighted score is fixed.
This approach adopts the fuzzy control theory to estimate the weights of the observations.
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