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.
``` |

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