Sentence examples for a generalized distribution from inspiring English sources

This paper proposes the use of a generalized distribution, namely the Generalized T (GT) distribution in the joint estimation of process states and model parameters.

Considering the results of previous work that assessed the validity of various statistical models of glass strength, we use a generalized distribution of the Weibull type to derive new partial factors that account for a lower bound for glass strength or not.

If additional information on the magnitude of fluctuations were also known, a generalized distribution should be employed, such as a negative binomial [33], which can account for clumping effects (we reproduce all estimations from the main paper using a negative binomial in Supplementary Material S1, Table S2).

The hyperkeratosis has a generalized distribution but tends to spare the face; over time prominent lichenification is often seen in the flexures of the arms and legs.

Although the current study focused on upper limb motor recordings, the findings provide further evidence that excitability changes in diabetes may occur in a generalized distribution, despite the clinical features of DN being largely lower limb predominant (15, 19).

We report the case of a 73 year-old male patient with a skin eruption consisting of multiple umbilicated small keratotic follicular or perifollicular papules with individual central keratotic plug with a generalized distribution affecting the whole body area, sparing the palms and soles, associated with mild pruritus.

Subjected to the conditions in Equation 3, the image ρ(E defines an integrable generalized distribution; therefore, M is foliated by the leaves of ρ(E).

Fitting distributions (purple curves) are mixtures of a generalized Poisson distribution and a power-law distribution.

This distribution appears as a generalized canonical distribution in non-extensive statistical physics and non-classical information theory [ 20].

These distributions can also be fitted, as a whole, by a mixture of a generalized Poisson distribution and a power-law distribution.

The exponential generalized beta distribution of the second kind (EGB2) is obtained by taking the logarithm of a variable with a generalized beta distribution of the second kind (GB2) distribution.