law0027.Frechet: The Frechet Distribution

In PoweR: Computation of Power and Level Tables for Hypothesis Tests

Description

Random generation for the Frechet distribution with parameters mu, sigma and alpha.

This generator is called by function gensample to create random variables based on its parameters.

Details

If mu, sigma and alpha are not specified they assume the default values of 0, 1 and 1, respectively.

The Frechet distribution with parameters mu = μ, sigma = σ and alpha = α has density:

f(x) = α/σ ((x - μ)/σ)_{+}^{-α - 1} e^-[((x - μ)/σ)^(-α)]

Author(s)

P. Lafaye de Micheaux, V. A. Tran

References

Pierre Lafaye de Micheaux, Viet Anh Tran (2016). PoweR: A Reproducible Research Tool to Ease Monte Carlo Power Simulation Studies for Studies for Goodness-of-fit Tests in R. Journal of Statistical Software, 69(3), 1–42. doi:10.18637/jss.v069.i03

See Also

See Distributions for other standard distributions.

Examples

res <- gensample(27,10000,law.pars=c(8,6,2))
res$law
res$law.pars
mean(res$sample)
sd(res$sample)

PoweR documentation built on May 2, 2019, 2:09 p.m.