Sentence examples for more efficient parameter from inspiring English sources

Both numerical and experimental results reveal that T2SLS can give more efficient parameter estimates especially in small samples under the autocorrelation problem when compared to OLS and 2SLS.

We present methods for deriving optimal experimental designs for dependent bivariate binary data using Copulas, and demonstrate that, by including the dependence between responses in the design process, more efficient parameter estimates are obtained than by the usual practice of simply designing for a single variable only.

Initial ideas grew out of two related research topics dealing with linear/nonlinear structural analysis in the late 70's: the need for more effective many-query design evaluation and more efficient parameter continuation methods [6 8].

This procedure is meaningful only if both intercept and slope are not constant over cross-sectional units; if they are constant, more efficient parameter estimates can be obtained by combining all the data so that one large pooled regression is run with NT observations.

Combining information in this way leads to more efficient parameter estimation.

QIF is useful for model selection and provides more efficient parameter estimates than GEE.

Previous studies demonstrated that the use of TC/HDL and non-HDL/HDL ratios are more efficient parameters for the stratification of cardiovascular risk than the isolated usage of serum lipids.

To make the search of parameter space more efficient, all parameters were constrained to be in the following bounds: 1 30 kB T for free-energies, and 1 30 Å for x u and xeq.

Although there is a significant additional number of a computation for the AW-XWVD, recent advances in digital electronics as well as decimation procedures can take care of them; in addition, the performance in terms of the IIB-phase estimates enables more efficient signal parameters estimation in the proposed area of applications.

Based on these observations, we hypothesize that the objective function manifold that uses a combination of RMSE and constraints gets rid of various local minima that correspond to physically meaningless parameter estimates and thus facilitates a much more efficient estimation of parameter values.

In fact, the aim is approached by the prediction profile likelihood in a very efficient manner because scanning the parameter space by the constrained optimization procedure to explore the data-consistent predictions is more efficient than sampling parameter space without considering the predictions like it is performed for MCMC.