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

In reliaR: Package for some probability distributions.

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, ...)

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.

Value

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

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)

reliaR documentation built on May 1, 2019, 9:51 p.m.