Description Usage Arguments Value Note Author(s) References See Also Examples

Calculate the censored Weibull MLE for the Type II censored data with the algorithm described in ASTM 5457(2004). Return the estimates of the shape and scale parameters. A comprehesive description of this algorithm can be found in Liu (2012).

1 | ```
cenWbMLE.T2(dat, n, useC = FALSE, conCr = 1e-09, nIter = 1000)
``` |

`dat` |
A vector of the observations after censoring. None NA or negative values allowed. |

`n` |
The original sample size, including both the censored and uncensored observations. |

`useC` |
See |

`conCr` |
See |

`nIter` |
See |

See `cenWbMLE.T1`

Please report the numerical problems and inconvenience when using this function to the author.

Please notice that the ways of inputing data in `cenWbMLE.T1`

and `cenWbMLE.T2`

are differnt. For `cenWbMLE.T1`

, the algorithm require a full "orginal" data set (with the uncensored observations as NA or a arbitary value larger than the threshold) and the original sample size is decided as the length of the input data, while `cenWbMLE.T2`

requires the observed data points and the original sample size.

Yang (Seagle) Liu <yang.liu@stat.ubc.ca>

See `cenWbMLE.T1`

`rweibull`

, `cenWbMLE.T1`

, `emCenWbMix.T2`

1 2 3 4 | ```
set.seed(1)
y <- sort(rweibull(100, 7, 7)) ##Generate the data
cenWbMLE.T2(y, 100) #The MLE for the complete data
cenWbMLE.T2(y[1:10], 100) #Censor the largerst 90% of the data.
``` |

```
$convergence
[1] 0
$estimates
Shape Scale
7.887145 6.916031
$convergence
[1] 0
$estimates
Shape Scale
10.831609 6.463398
```

extWeibQuant documentation built on May 1, 2019, 10:31 p.m.

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