Sentence examples for beta distribution is a from inspiring English sources

Beta distribution is a close-ended distribution with maximum and minimum thresholds on maintenance of LC.

The beta distribution is a suitable model for a random allocation of percentages (see Forbes et al. 2011; Ferrari and Cribari-Neto 2004 and references herein).

The beta distribution is a continuous probability distribution defined on the interval [0, 1] (though this can be modified), which is parameterized by two positive shape parameters that appear as exponents of the random variable and control the shape of the distribution to model the behavior of random variables limited to intervals of finite length.

The beta distribution is a suitable choice for probability parameters (percentages or proportions) since it is defined on the interval [0, 1].

This indicates that in moderately large N e the use of a beta distribution is a good approximation to the integral.

The beta distribution is a continuous probability distribution defined over the unit interval with density function f y ; μ, ϕ = Γ ϕ Γ μ ϕ Γ 1 − μ ϕ y μ ϕ − 1 1 − y 1 − μ ϕ − 1, 0 < y < 1, where Γ denotes the gamma function [ 7].

The beta-distribution is a good candidate distribution to model variation in DS because it is bounded between 0 and 1 and can take many different shapes.

The so-called standard beta distribution is where a = 0 and b = 1. Lee (2004, p. 74) provided a range of graphs illustrating various shapes that the standard beta distribution can take.

In each aggregation epoch, a random value from a given beta distribution is assigned to a possible state.

In beta regression models, the mean parameter μ ∈ (0,1) of the beta distribution is expressed as a function of covariates, while the precision parameter ϕ ∈ ℝ+ is treated as nuisance.

Modeling the signal component by a beta distribution is justified by Figure 1 and a Quantile–Quantile (Q Q) plot (data not shown).