Description Usage Arguments Value References See Also Examples

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.

1 | ```
pp.gp.weibull(x, alpha.est, theta.est, main = " ", line = FALSE, ...)
``` |

`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. |

The function `pp.gp.weibull()`

carries out a PP plot for the generalized power Weibull(GPW).

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.

`qq.gp.weibull`

for `QQ`

plot and `ks.gp.weibull`

function;

1 2 3 4 5 6 7 | ```
## 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 19, 2017, 10:30 a.m.

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