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The skewness of a distribution in this family is controlled by a shape parameter α, −∞<α<∞.
The distribution is defined by a shape parameter, the Weibull modulus, and a scaling parameter.
In this paper, the trigonometric basis {sin t, cos t, t, 1} and the hyperbolic basis {sinh t, cosh t, t, 1} are unified by a shape parameter C (0 ≤ C < ∝).
An Erlang distribution is described by a shape parameter m, a positive integer, and a scale parameter λ>0, with density f(x)=λ m x m−1 e −λ x /(m−1)!,x>0, see Fig. 2. The name chi-squared model is used by the above paper, by Zhao et al. (1995), and by Armstrong et al. (2006), though they always assume an even number of degrees of freedom.
The distribution of relaxation times τ is described by a shape parameter of β = 0.85.
Each element was defined by a shape parameter (S) that determined its position on a continuous transition between a square (S = −1) and a circle (S = +1), and a color parameter (C) that determined its position on a continuous transition between blue (C = −1) and red (C = +1).
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We tested for non-constant pregnancy incidence by using a shape parameter test from the Weibull distribution.
The interarrival time is determined by two parameters, a shape parameter and a location parameter ; this leads to the following cumulative distribution function [9, 10]: (7).
For each positive integer k, if (kn), (tau _k) can be approximated by a gamma distribution with a shape parameter (k-n) and scale parameter 1.
The distribution of Δτ is given by a Weibull distribution with a shape parameter of 2 and a scale parameter of 4. All the sets do not create the expected scenario (i.e., the foreshock remains the same and the main shock increases to the largest patch).
The site selection coefficients are drawn independently from a normalized distribution ρ(f), which is parameterized by its mean f ¯ and a shape parameter κ [we use a Weibull distribution, which has a tail of the form ρ (f ) ∼ exp [ − (f / f ¯ ) κ ] ; see section 6 of supporting information, File S1 for details].
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