Sentence examples for estimation of the same from inspiring English sources

The ASSE resulting from using the various methods under the impulse-train excitation for the estimation of the same AR system as the one considered for the white noise excitation is shown in Figure 4.

To see how PEDI performs in comparison with state-of-the-art parameter estimation methods, we applied SRES, HEKF + MM and TDDM to the parameter estimation of the same gene circuit models with the same datasets.

Note however, that the bootstrap method comes with a high computational cost since it requires a large number of parameter estimations on the same model structure using different data set with added random noise at a certain noise level.

The process of measuring person estimations on the same scale is called equating.

Importantly, by including more than one country in different geographic regions would allow us to estimate repeatability of estimations for the same regions (see below).

"Honey has risen" in the estimation of marketers "the same way that olive oil has and cheese has," said Zeke Freeman, who owns Bee Raw Honey and sponsors a "Save the Bees" fund-raising effort in social media and online in response to a phenomenon known as colony collapse disorder.

It is possible to notice that, in low noise conditions, the RMSE of the position estimation is of the same order of magnitude as the uncertainty of the anchor positions.

We fit this model using the R package nlme and the estimation method of the same name.

The heritability estimation errors of Yang et al. (2010) in scenario A, where the proportion of causal SNPs is high, display a significantly lower variance than the heritability estimation errors of the same method in scenario B, when the proportion of causal SNPs is low (p<10−3).

Trigonometric point cumulative semivariogram (TPCSV) approach results are compared with the ANN estimations for the same set of data by considering the correlation coefficient (R).

This standard error of estimation serves the same role as the standard error of measurement in classical test theory, except that the former statistic can vary for each examinee [ 24].