gld function

Basic functions for RS-GLD

To compute the density, distribution, quantile, and to generate random sample for RS-GLD.

## Default S3 method:
drsgld(x,lambda)
prsgld(x,lambda)
qrsgld(p,lambda)
rrsgld(n,lambda)

Arguments

• x: a numeric value or a vector.
• p: a probability or a vector of probabilities.
• n: sample size.
• lambda: a vector of four parameters for RS-GLD.

Author(s)

B. Wang bwang@jaguar1.usouthal.edu

References

Karian, Z.A., Dudewicz, E.J., McDonald, P., 1996. The Extended Generalized Lambda Distribution System for Fitting Distributions to Data: history,completion of theory, tables, applications, the ``final word'' on moment fits, Comm. in Statist.- Simul. & Comput.

25 (3), 611-642.

Karian, Z.A., Dudewicz, E.J., 2000. Fitting Statistical Distributions: The Generalized Lambda Distribution and Generalized Bootstrap Methods, Chapman and Hall/CRC.

See Also

fit.gld, qegld,pegld, regld,degld.

Examples

lambdas = c(0, 0.1975, 0.1349,0.1349)
qrsgld(c(0,.1,.5,.7,1),lambdas)
prsgld(c(-10,0,1,3,20),lambdas)
drsgld(c(-10,0,1,3,20),lambdas)
x = sort(rrsgld(100,lambdas))
plot(dnorm(x)~x,type='l')
lines(drsgld(x,lambdas)~x,lty=2,col=2)
lines(density(x),col=4,lty=3)