gamma distribution


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gamma distribution

[¦gam·ə ‚dis·trə′byü·shən]
(statistics)
A normal distribution whose frequency function involves a gamma function. Also known as Erlang distribution.
References in periodicals archive ?
If [U.sub.0] follows the stationary gamma distribution, then ([U.sub.t]) is strongly stationary.
As special cases, we will assume, in section 4.1, a seasonal conditional normal distribution for the data and, in section 4.2, a seasonal conditional gamma distribution for the data.
Meuwissen et al [1] have reported that the distribution of quantitative trait locus follows Gamma distribution. However, in this study, we performed Goodness-of-Fit tests for gamma distribution and found that the distribution of estimated SNP effects on TNB did not follow Gamma distribution (Table 4).
First, for given values of the parameters of interest, we generated a frailty term ut for each patient using random values from a gamma distribution with density given in Section 3.
The Poisson process models the daily occurrence of rainfall while the intensity is modeled using Gamma distribution as the magnitude of the jumps of the Poisson process.
Martinez, "Some computational aspects to find accurate estimates for the parameters of the generalized gamma distribution," Pesquisa Operacional, vol.
To calculate the Gamma Resource (Gamma distribution Lifespan) T([gamma]) of element [E.sub.1] it is necessary to look at the statistics relating to its central tendency and dispersion: its mean-time to failure, the standard deviation and the gamma percentile.
Although in most of the study, the symmetrical function is assumed (Gaussian), yet it would be advantageous to choose an asymmetric distribution for modelling the kinetics of biomass pyrolysis, such as the Gamma distribution over a symmetrical one [23].
As shown in [14], in order to model simultaneous effects of turbulence-induced amplitude fluctuations and phase aberrations, the Probability Density Function (PDF) of FSO fading amplitude will be modelled with Double Generalized Gamma distribution, as
In [12], this pdf is approximated by a Gamma distribution whose mean and variance are computed.
A generalized Poisson process is used to setup the 3D scatterer distribution by a given scatterer number and phantom dimension as well as shape and scale parameters of the gamma distribution for the scatterer space.