Sentence examples for variance of response from inspiring English sources

A fairly large variance of response has also been observed on each span in correspondence to a wide range of stiffness values, which implies a good potential for improving bridge performance through modifying joint parameters or coupling configurations.

The PLS model for the G1 sites had five significant factors, which explained 87.12% variance of response variables and 95.05% of the variance of predictor variables, respectively (Table 2b).

The exploratory PLS analysis for all sites extracted two significant latent factors (Table 2a), which explained 58.11% of the variance of response variables and 52.41% of the variance of predictor variables, respectively.

As expected from the data distribution, the most efficient parameter in reducing the variance of response spectra is the R JB distance (synaptic weight around 40 51%), followed directly by the earthquake magnitude M w (around 27 36%).

These results indicated that integrating methods to examine present and past events of disturbance, including analyses to detect changes in spatial variance of response variables, may provide a powerful approach to the analysis of environmental impacts on P. oceanica.

In this work, we use the variable importance metric employed in the RPART regression method.5 The metric measures the sum of the weighted reduction in the impurity method (e.g., the Shannon entropy and the variance of response variable) attributed to each variable [34, 35].6 It associates scores with each variable, which can be used to rank the variables based on their contribution to the model.

However, the unconditional mean square response based designed may have larger variance of responses due to uncertainty in system parameters and the overall system performance may be sensitive.

The results of the study for individual participants and overall are summarised in Table 3. Table 3 The mean and variance of responses for the naturalness evaluation study; the three cases are real data playback, synthetic trajectories using the technique described in this paper, and synthetic trajectories using viseme interpolation.

To enable the responses to different odors to be separated, the distance of mean responses should be large and the mean variance of responses should be low.

Table 1 shows how the inhibitory LN input changed the performance of binary SVM classifiers, the distance of mean responses, and the mean variance of responses for all possible pairs of odors.

In 76% of cases within this category, the distance of mean responses was increased while the mean variance of responses was decreased, which are both beneficial for odor discrimination.