ercv (version 1.0.1)

cvplot: Exploratory empirical residual coefficient of variation

Description

Exploratory empirical residual coefficient of variation for extreme value analysis.

Usage

cvplot(data, threshold = NA, nextremes = NA, omit=4, evi=0, main="CVplot", 
       conf.level=0.90, xlab="Excluded sample size", 
       ylab="Coefficient of variation", col="blue", ...)

Arguments

data

a numeric vector.

threshold

a threshold value (either this or nextremes must be given but not both).

nextremes

the number of upper extremes to be used (either this or threshold must be given but not both).

omit

the minimum required number of upper extremes for computing residual statistics.

evi

extreme value index. In particular, the shape parammeter of a generalized Pareto distribution.

main

an overall title for the plot.

conf.level

confidence level of the interval (defaults to 0.90).

xlab

horizontal axis label. Defaults to Excluded sample size.

ylab

vertical axis label. Defaults to Coefficient of variation.

col

plot color. Defaults to blue.

...

Usual graphic parameters.

Value

Plot of the empirical residual CV and confidence intervals.

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.

See Also

ercv-package, cievi, ccdfplot, cvevi, evicv, fitpot, ppot, qpot, tdata, thrselect, Tm

Examples

# NOT RUN {
data("moby", package = "poweRlaw")
cvplot(moby, main="MobyDick")

data(iFFT)
cvplot(iFFT, threshold=median(iFFT), main="iFFT") 
# }