Sentence examples for be described by normal from inspiring English sources

In this configuration and at a long range the acoustic propagation can be described by normal mode theory.

The proportions of PrEVs with long-distance extra trip on weekday and weekend are r aw and r ae respectively, and their trip distance can be described by normal distribution N 1 and N 2. As for v i,j, it can be given by the fitting function of traffic survey.

We will also suppose, for simplicity, that the log FC distribution of unregulated features d0 at each expression level, μ, can be described by normal distribution N d ― 0 = 0, v 0 μ = σ 0 μ 2. We are interested in finding features that are significantly different from unregulated features.

The time spent by a user at the waypoint is described by normal distribution and differs for each room (parameters μ and σ of the distribution are derived from [13]). Figure 7 Indoor mobility model [ 13 ]. Figure 7 further shows the position of FAPs considered in the performed simulation.

The figure confirms that at the first order the neural network can be described by a normal process, even if small deviations from the normal distribution, due to the non-linearity introduced by (mathscr{A} (V )), can be observed.

A hypothesis that the peak (resultant) forces, FR,peak acting on pipe bends can be described by the normal distribution function will be tested, with the purpose of predicting the mean of the FR,peak (FR,mean) and the standard deviations of the FR,peak (FR, standard deviation) generated.

(iv) The temporal fixation rate of each CR1 subtype can be described by a normal distribution as is shown by the divergences of its single copies from their consensus sequences (additional data file 1).

Our maximum C index approach can be applied to multivariate scenario if the distributions of a number of prognostic variables for healthy and diseased groups can be described by multivariate normal distributions and if the calculation times are acceptable [ 26].

As the data could not be described by a normal distribution, the two-tailed Mann–Whitney U test was used to detect differences in miRNA levels with regard to outcomes.

These models are well suited to the analysis of productivity data where a large proportion of individuals fail to raise any young and productivity cannot be described by a normal, poison or negative binomial distribution (e.g. [ 39]).

As seen in the population distribution analysis of BCVA, the underlying population distribution could not be described by a normal distribution, even considering the BCVA above unity with wider gaps between the levels.