Thank you, Ben.
The beta distribution seems flexible enough. I knew this distribution but
had never seen it in this kind of application, and somehow did not recall
it.
rbeta(n, shape1 = 5, shape2 = 1) looks reasonable to start with for my
simple task. If I had a real dataset I could parameterize
>In my limited experience (we have some insurance projets), 100% can occur,
>but otherwise a beta distbribution may suit, which suggests a mixture
>distribution. But start with an empirical examination (histogram, ecdf,
>density plot) of the distribution, since it may reveal other features.
G
Not an R question as yet .
In my limited experience (we have some insurance projets), 100% can occur,
but otherwise a beta distbribution may suit, which suggests a mixture
distribution. But start with an empirical examination (histogram, ecdf,
density plot) of the distribution, since it m
diegol gmail.com> writes:
>
>
> R version: 2.7.0
> Running on: WinXP
>
> I am trying to model damage from fire losses (given that the loss occurred).
> Since I have the individual insured amounts, rather than sampling dollar
> damage from a continuous distribution ranging from 0 to infinity, I
R version: 2.7.0
Running on: WinXP
I am trying to model damage from fire losses (given that the loss occurred).
Since I have the individual insured amounts, rather than sampling dollar
damage from a continuous distribution ranging from 0 to infinity, I want to
sample from a percent damage distrib
5 matches
Mail list logo
