reliaR (version 0.2)

qq.expo.logistic: Quantile versus quantile (QQ) plot for the Exponentiated Logistic(EL) distribution

Description

The function qq.expo.logistic() produces a QQ plot for the Exponentiated Logistic(EL) based on their MLE or any other estimate. Also, a line going through the first and the third quartile can be sketched.

Usage

qq.expo.logistic(x, alpha.est, beta.est, main = " ", line.qt = FALSE, ...)

Value

The function qq.expo.logistic() carries out a QQ plot for the Exponentiated Logistic(EL).

Arguments

x

vector of observations

alpha.est

estimate of the parameter alpha

beta.est

estimate of the parameter beta

main

the title for the plot

line.qt

logical; if TRUE, a line going by the first and third quartile is sketched.

...

additional arguments to be passed to the underlying plot function.

References

Ali, M.M., Pal, M. and Woo, J. (2007). Some Exponentiated Distributions, The Korean Communications in Statistics, 14(1), 93-109.

Shirke, D.T., Kumbhar, R.R. and Kundu, D.(2005). Tolerance intervals for exponentiated scale family of distributions, Journal of Applied Statistics, 32, 1067-1074

See Also

pp.expo.logistic for PP plot and ks.expo.logistic function;

Examples

## Load data sets
data(dataset2)
## Maximum Likelihood(ML) Estimates of alpha & beta for the data(dataset2)
## Estimates of alpha & beta using 'maxLik' package
## alpha.est = 5.31302, beta.est = 139.04515

qq.expo.logistic(dataset2, 5.31302, 139.04515, main = " ", line.qt = FALSE)