pp.gp.weibull: Probability versus Probability (PP) plot for the generalized...

In reliaR: Package for some probability distributions.

Description

The function pp.gp.weibull() produces a PP plot for the generalized power Weibull(GPW) based on their MLE or any other estimate. Also, a reference line can be sketched.

Usage

pp.gp.weibull(x, alpha.est, theta.est, main = " ", line = FALSE, ...)

Arguments

x	vector of observations
alpha.est	estimate of the parameter alpha
theta.est	estimate of the parameter theta
main	the title for the plot.
line	logical; if TRUE, a 45 degree line is sketched.
...	additional arguments to be passed to the underlying plot function.

Value

The function pp.gp.weibull() carries out a PP plot for the generalized power Weibull(GPW).

References

Nikulin, M. and Haghighi, F.(2006). A Chi-squared test for the generalized power Weibull family for the head-and-neck cancer censored data, Journal of Mathematical Sciences, Vol. 133(3), 1333-1341.

Pham, H. and Lai, C.D.(2007). On recent generalizations of the Weibull distribution, IEEE Trans. on Reliability, Vol. 56(3), 454-458.

See Also

qq.gp.weibull for QQ plot and ks.gp.weibull function;

Examples

## Load data sets
data(repairtimes)
## Maximum Likelihood(ML) Estimates of alpha & theta for the data(repairtimes)
## Estimates of alpha & theta using 'maxLik' package
## alpha.est = 1.566093, theta.est = 0.355321

pp.gp.weibull(repairtimes, 1.566093, 0.355321, main = " ", line = TRUE)

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