Sentence examples for competitive estimation from inspiring English sources

Validations on real human brain PET/MRI data show that our proposed method can provide competitive estimation quality of the PET images, compared to the state-of-the-art methods.

It was proven that estimation of competitive adsorption isotherms from nonlinear frequency response experiments with equimolar inlet mixtures is feasible.

It can also be used for precise cost estimation during competitive bidding in make-to-order manufacturing context.

The results show that, in simulation test of random variables, the Least Squares method is highly competitive with the Bayesian Estimation method and the Maximum Likelihood method for all sample size and parameter settings.

The nonlinear frequency response method for estimation of competitive adsorption isotherms, based on analysis of the response of a chromatographic column to sinusoidal perturbation of the inlet concentration, was modified in such a way to require experimentation with only 50 50 inlet mixtures, thus making it applicable for racemic mixtures of enantiomers.

The result is a spectrum estimator easily derivable from wavelet software, and which is extremely competitive with other existing spectrum estimation approaches.

The aim of the present study was to develop and evaluate a competitive ELISA (C-ELISA) for estimation of neutralizing antibodies in order to make this testing more widely available.

Since our proposed shrinkage regression-based methods can provide accurate missing value estimation, they are competitive alternatives to the existing regression-based methods.

Since our proposed methods can be applied to modify any kind of regression-based methods and can provide accurate missing value estimation, they are competitive alternatives to the existing regression-based methods.

This makes them strongly competitive candidates for on-line modelling, estimation and control in comparison with the neural networks, polynomial and regression models.

The results from parameter estimation demonstrate that a competitive reaction rate model describes the experimental data with varying water concentration best.