Random generation for the Generalized Exponential Power distribution with parameters
This generator is called by function
gensample to create random variables based on its parameters.
t3 are not specified they assume the default value of 0.5, 0 and 1, respectively.
The Generalized Exponential Power distribution has density:
p(x;γ,δ,α,β,z_0) \propto e^-(δ |x|^γ) |x|^(-α) log|x|^(-β)
for x ≥ z_0, and the density equals to p(x;γ,δ,α,β,z_0) for x < z_0.
P. Lafaye de Micheaux, V. A. Tran
Pierre Lafaye de Micheaux, Viet Anh Tran (2016). PoweR: A Reproducible Research Tool to Ease Monte Carlo Power Simulation Studies for Goodness-of-fit Tests in R. Journal of Statistical Software, 69(3), 1–42. doi:10.18637/jss.v069.i03
Desgagne, A., Lafaye de Micheaux, P. and Leblanc, A. (2013), Test of Normality Against Generalized Exponential Power Alternatives, Communications in Statistics - Theory and Methods, 42(1), 164–190.
Distributions for other standard distributions.
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