The Weibull distribution is widely used in the parametric analysis of lifetime
data. In place of the Weibull distribution, it is often more convenient to work with the
equivalent extreme value distribution, which is the logarithm of the Weibull distribution.
The main advantage in working with the extreme value distribution is that unlike the
Weibull distribution, the extreme value distribution has location and scale parameters.
This paper is devoted to a discussion of statistical inferences for the extreme value distribution
with censored data. Numerical simulations are performed to examine the finite
sample behaviors of the estimators of the parameters. These procedures are then applied
to real-world data.