Compute a desired quantile (inverse CDF) of the generalized extreme value (GEV) distribution.
Arguments
- P is the desired quantile of the GEV distribution. (Between 0 and 1.)
- k is the shape parameter of the GEV distribution. (Also denoted gamma or xi.)
- sigma is the scale parameter of the GEV distribution. The elements
of sigma must be positive.
- mu is the location parameter of the GEV distribution.
The inputs must be of common size, or some of them must be scalar.
Return values
- X is the value corresponding to each quantile of the GEV distribution
References
- Rolf-Dieter Reiss and Michael Thomas. Statistical Analysis of Extreme Values with Applications to Insurance, Finance, Hydrology and Other Fields. Chapter 1, pages 16-17, Springer, 2007.
- J. R. M. Hosking (2012). L-moments. R package, version 1.6. URL: http://CRAN.R-project.org/package=lmom.
See also: gevcdf, gevfit, gevlike, gevpdf, gevrnd, gevstat.