  Recently, the conditional maximum-entropy method (abbreviated as C-MaxEnt)
has been proposed for selecting priors in Bayesian statistics in a very simple
way. Here, it is examined for extreme-value statistics. For the Weibull type as
an explicit example, it is shown how C-MaxEnt can give rise to a prior
satisfying Jeffreys' rule.
