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reliaR (version 0.2)

qq.weibull.ext: Quantile versus quantile (QQ) plot for the Weibull Extension(WE) distribution

Description

The function qq.weibull.ext() produces a QQ plot for the Weibull Extension(WE) based on their MLE or any other estimate. Also, a line going through the first and the third quartile can be sketched.

Usage

qq.weibull.ext(x, alpha.est, beta.est, main = " ", line.qt = FALSE, ...)

Value

The function qq.weibull.ext() carries out a QQ plot for the Weibull Extension(WE).

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

Tang, Y., Xie, M. and Goh, T.N., (2003). Statistical analysis of a Weibull extension model, Communications in Statistics: Theory & Methods 32(5):913-928.

Zhang, T., and Xie, M.(2007). Failure Data Analysis with Extended Weibull Distribution, Communications in Statistics-Simulation and Computation, 36(3), 579-592.

See Also

pp.weibull.ext for PP plot and ks.weibull.ext function;

Examples

Run this code
## Load data sets
data(sys2)
## Maximum Likelihood(ML) Estimates of alpha & beta for the data(sys2)
## Estimates of alpha & beta using 'maxLik' package
## alpha.est = 0.00019114, beta.est = 0.14696242

qq.weibull.ext(sys2, 0.00019114, 0.14696242, main = " ", line.qt = FALSE)

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