ccdfplot: Plot of complementary empirical distribution function and the complementary distribution function

Description

Plot of complementary empirical distribution function of a sample and the complementary distribution function from peaks-over-threshold model.

Usage

ccdfplot(data, pars=NA, log="y", from=NA, main="Complementary cdf", ...)

Arguments

data

a numeric vector.

pars

a numeric vector with the set of parameters of peaks-over-threshold model.

log

a character string which contains x if the x axis is to be logarithmic, y if the y axis is to be logarithmic and xy or yx if both axes are to be logarithmic.

from

the origen of x-axis in the plot

main

an overall title for the plot.

...

usual graphic parameters.

Value

Plot of complementary empirical distribution function and the complementary distribution function.

References

del Castillo, J. and Padilla, M. (2016). Modeling extreme values by the residual coefficient of variation. SORT Statist. Oper. Res. Trans. 40(2), 303-320.

del Castillo, J. and Serra, I. (2015). Likelihood inference for Generalized Pareto Distribution. Computational Statistics and Data Analysis, 83, 116-128.

del Castillo, J., Daoudi, J. and Lockhart, R. (2014). Methods to Distinguish Between Polynomial and Exponential Tails. Scandinavian Journal of Statistics, 41, 382-393.

Examples

Run this code

# NOT RUN {
data(d1)
ccdfplot(d1)
# }

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