Sentence examples for estimation as compared from inspiring English sources

Empirical studies employing these estimators have shown a seemingly equal or even larger uncertainty of the AGB estimates obtained with extensive use of LiDAR data to support the estimation as compared to pure field-based estimates employing estimators appropriate under simple random sampling (SRS).

Additionally, the generated soft masks can be used to calculate the weighted centers of the ISDR-clusters for better DOA estimation as compared to the original center used in our previously proposed AVS-ISDR.

One purpose of the study is to determine if, and how, the designs change in response to the robust methods of estimation as compared to classical least squares estimation.

Experimental results verify the effectiveness of our method for fast tactile object shape estimation as compared to passive exploration and active exploration that touches the most uncertain part of the estimated shape.

Hence, in such cases when the PDS data have a mean less than this, the AMS/NB GLD and PDS/GLD should be a better model for q(T) estimation as compared to PDS/ED.

Using the 5th order of central difference scheme, the STIV directly calculated the mean angle of slopes which appeared as strips in the spatio-temporal images and has been proved to be more reliable and efficient for the discharge estimation as compared with the conventional LSPIV.

Dancers were significantly less variable in their time estimations as compared to non-dancers.

To separate closely spaced channel paths, super-resolution techniques [5], such as multiple signal classification (MUSIC), etc. [6 8], are reported to be able to significantly improve the TOA estimations as compared to the conventional autocorrelation approach [9].

The performance of RNN shows better state estimation capability as compared to other state estimation schemes in terms of qualitative and quantitative performance indices.

It was found that the Fuzzy Logic model could produce comparably good estimation results as compared to the traditional Binary Logistic models.

Secondly, we show that HOSPoF achieves a higher order estimation accuracy as compared to UKF for smooth scalar nonlinearities.