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Hence, we will use the RMSE ^ LWLS indicator and LWLS estimator to evaluate the proposed method.
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The new method is used to obtain exact error estimators to evaluate the effects of various TBCs on the dam reservoir first resonant frequency and hydrodynamic forces acting on the dam upstream face.
We use differences-in-differences (DD) and differences-in-differences-in-differences (DDD) estimators to evaluate the differential effects of alternative reform measures on high and low risk workers.
To provide robust estimations, the estimator is designed to evaluate the upper and lower bounds on the outputs under model parameter uncertainties.
Having access to the bias of the estimator, enables us to evaluate the accuracy of the estimated clean data, which later will be used to design a quantizer.
The weighted least-square estimator was used to evaluate model fit as this method of estimation can be used reliably with ordered categorical level data and dependably with modest samples sizes.
Accordingly, the innovative MMSE estimator is introduced to evaluate the coefficients.
The two estimators we sought to evaluate (and their associated CIs) were a simple product-based estimator and revised product-based estimator.
These estimators are designed to evaluate the error of local variables in a certain region by applying duality techniques.
The weighted least-square with mean and variance correction estimator (WLSMV) was used to evaluate model fit as this estimation method can be both used reliably with ordered categorical level data, and be used dependably with modest samples sizes.
QCADesigner tool is used to validate the layout of the proposed designs and QCAPro power estimator tool is used to evaluate the power dissipation of all considered designs.
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