View source: R/univariate.mle.R

MLE of the censored Weibull distribution | R Documentation |

MLE of the censored Weibull distribution.

```
censweibull.mle(x, di, tol = 1e-07)
```

`x` |
A vector with positive valued data (zeros are not allowed). |

`di` |
A vector of 0s (censored) and 1s (not censored) vales. |

`tol` |
The tolerance level up to which the maximisation stops; set to 1e-07 by default. |

Instead of maximising the log-likelihood via a numerical optimiser we have used a Newton-Raphson algorithm which is faster.

A list including:

`iters` |
The number of iterations required for the Newton-Raphson to converge. |

`loglik` |
The value of the maximised log-likelihood. |

`param` |
The vector of the parameters. |

Michail Tsagris.

R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.

Fritz Scholz (1996). Maximum Likelihood Estimation for Type I Censored Weibull Data Including Covariates. Technical report. ISSTECH-96-022, Boeing Information & Support Services, P.O. Box 24346, MS-7L-22.

http://faculty.washington.edu/fscholz/Reports/weibcensmle.pdf

```
km, censpois.mle
```

```
x <- rweibull(300, 3, 6)
censweibull.mle(x, di = rep(1, 300))
di <- rbinom(300, 1, 0.9)
censweibull.mle(x, di)
```

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