reliaR (version 0.01)

qq.lfr: Quantile versus quantile (QQ) plot for the linear failure rate(LFR) distribution

Description

The function qq.lfr() produces a QQ plot for the linear failure rate(LFR) based on their MLE or any other estimate. Also, a line going through the first and the third quartile can be sketched.

Usage

qq.lfr(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.lfr() carries out a QQ plot for the linear failure rate(LFR).

References

Bain, L.J. (1974). Analysis for the Linear Failure-Rate Life-Testing Distribution, Technometrics, 16(4), 551 - 559.

Lawless, J.F.(2003). Statistical Models and Methods for Lifetime Data, John Wiley and Sons, New York.

Sen, A. and Bhattacharya, G.K.(1995). Inference procedure for the linear failure rate mode, Journal of Statistical Planning and Inference, 46, 59-76.

See Also

pp.lfr for PP plot and ks.lfr function;

Examples

## 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 = 1.77773e-03,  beta.est = 2.77764e-06

qq.lfr(sys2, 1.777673e-03, 2.777640e-06, main = " ", line.qt = FALSE)