  Frullani's integral dates from 1821, but a probabilistic interpretation of it
has never been made. In this paper, Frullani's integral formula is shown to
result from mixing a lifetime distribution by allowing the logarithm of the
scale factor to be uniformly distributed over a finite range. This gives a
class of long-tailed distributions related to slash distributions, where the
pdf is simply expressed in terms of the survival function of the `parent'
distribution. The resulting survival distributions have all moments finite, and
can exhibit the bimodal hazard functions sometimes seen in practice. A
distribution of this type analogous to the t-distribution is derived, the
corresponding multivariate distributions are given, and two skewed versions of
this distribution are derived. The use of the mixed distributions for inference
is exemplified by fitting them to several datasets. It is expected that there
will be many applications, in health, reliability, telecommunications, finance,
etc.
