Sentence examples for estimation when compared with from inspiring English sources

The couple is shown to give the best agreement in terms of TMF lifetime estimation when compared with more simple TMF design approaches and an other constitutive model.

Also, it was observed that the proposed correlations for Vs and Es provide better estimation when compared with the commonly used correlations in carbonate reservoirs.

In this case the PM method produced the better estimation, when compared with other methods like averaging and global linear regression (see below).

Of the 86 children included in the data analyses for this report (see "Pulmonary function measures," below), 82 were located within 5 km of their respective community monitoring location, resulting in great improvement in exposure estimation when compared with the preexisting monitoring sites in Detroit or with the geographic representativeness of exposure estimates for many previous studies.

The results of the laboratory measurements demonstrate that the proposed calibration method can greatly improve the accuracy of the velocity and thickness estimations when compared with the conventional method.

Figure 9 Importance of model estimation when compared to a blind authentication test.

The multinomial logistic model is used to deal with nominal response data, which requires even more coefficients and hence more observations for proper estimation when compared to the ordinal logistic model.

These algorithms were developed with the specific aim of offering a significant reduction in examination time but without sacrificing any loss in the accuracy of threshold estimation when compared to the Full Threshold and FASTPAC algorithms [ 16, 17].

The robust design shows a very significant improvement, in a probabilistic sense for different systems, of the relative standard deviation of the estimation error when compared with the nominal model filter design.

The supertree presents several challenges to the estimation of ED when compared with the (unknown) true phylogeny: poor resolution, missing species and uncertainty in node ages.

The objective of this paper is to investigate the evidence for symbolic regression using genetic programming (GP) being an effective method for prediction and estimation in software engineering, when compared with regression/machine learning models and other comparison groups (including comparisons with different improvements over the standard GP algorithm).