Sentence examples for distributions take from inspiring English sources

The updated probability distributions take into account the increased level of information eventually gathered as a results of destructive and/or non-destructive tests and inspections on the structure.

Furthermore, when the upper bound for the active element concentration due to saturation is neglected, such distributions take the form of a Dirac delta function, thus recovering the results of previous studies.

In the mixed capillary permeability regime, the power-law exponents that characterize these distributions take the values α = 0.97 ± 0.05 for the sizes, τ = 1.16 ± 0.10 for the durations, and x = 1.3 ± 0.1 for the joint distribution of sizes vs. durations.

Large distributions take a majority vote.

If we remove these courses and assume conservatively that the first Federal distributions take place approximately 3 4 months into the pandemic, we find that antiviral treatment only modestly slow transmission (Figure 3b).

Again a "degree" is the connectedness of any node to the network and network distributions take any of several forms including Gaussian, which is commonly observed in random networks or non-Gaussian forms including distributions with a fat tail (e.g., scale free networks).

We will show how the maximum likelihood principle leads to logical alternatives to least squares estimation for non-Gaussian distributions, taking the Poisson distribution as an example.

Simulated input data was generated using distributions taken from real data to model the cost of parcels, and the rarity and co-occurrence of species.

The theoretical formulation for stochastic shape sensitivity is described which presents probabilistic distributions taking into account random initial and boundary conditions.

Distributions taken prior to turning 59 ½ will be subject to ordinary income tax, plus the 10% early withdrawal penalty, just like any other type of retirement plan.

The set of distributions taken into consideration is then made relative to the data obtained: the complexity of the model grows with the sample.