Sentence examples for boundaries of the data from inspiring English sources

These partially differing results might be due to the collinearity of climatic covariates which hinders the estimation of robust causal effects especially for the upper boundaries of the data ranges.

The confidence intervals of f 2a near both boundaries of the data range are very wide which suggest that the minor deviates of the estimated smooth from monotonicity are not significant.

Lysine, which is considered the limiting AA in salmonids, showed levels that were well within the boundaries of the data reported by [ 28] and [ 29].

For all WOMBAT models considered here, we found possible inflated estimates of variance components at the boundaries of our dataset and consequently, we believe that there are inaccuracies in our reduced rank curves at the boundaries of the data (Figs. 5 and 6).

(a) RMSE of estimate, (b) RMSE of estimate, (c) RMSE of K estimate, and (d) error probability of K. Figure 5 presents the performance of the proposed scheme and the ML-based algorithm for a transition time close to the boundary of the data block,.

The specification of conditions serves solely to suppress a too great and implausible flexibility, especially at the boundaries of the covariate data ranges.

The effectiveness of the membership functions in pattern classifications can be objectively measured in terms of interpretability and classification accuracy in the conformity of the decision boundaries to the inherent probabilistic decision boundaries of the training data.

First, as this index was constructed within the boundaries of the FQ data, the limited number of questions in the questionnaire may have restricted the variation in food variety and serving intake responses.

In the former case, the boundaries of the missing data blocks strictly coincide among subsets of the sequences in a superalignment, while in the latter case the gaps are staggered.

For each parameter, correlations for eleven conditions are displayed: the first correlation is for the trajectories predicted by concatenative synthesis using multirepresented diphones (see text); the second correlation is for trajectories predicted by HMM using acoustic boundaries; the rest of the data give results obtained after the successive iteration of the estimations of the phasing model.

Although the estimates of,, and can be obtained using the proposed scheme or other ML-based schemes, such as the exhaustive search method, if the transition time of the received signal is close to the boundary of the sampling data block, then one of the frequency estimation errors would be large, because the samples used in the estimation of one frequency are small.